{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "bd9848be",
   "metadata": {},
   "source": [
    "### 作业要求"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50615c90",
   "metadata": {},
   "source": [
    "高中体测数据可视化（体测分数_男生，体测分数-女生）\n",
    "\n",
    "1、对男1000米跑、男引体进行等宽分箱操作，分成3份，并使用饼图绘制百分比\n",
    "\n",
    "2、对女800米跑、女跳远进行直方图绘制统计各分数段人数，分成4份\n",
    "\n",
    "3、使用嵌套饼图对比男女生体重指数进行比例统计，分为正常、低体重、超重、肥胖(男女生体重指数参考如下)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f71165f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib  as pb\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "d2cc340f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3.647, 5.47]        0.547170\n",
       "(1.823, 3.647]       0.408805\n",
       "(-0.00547, 1.823]    0.044025\n",
       "Name: 男1000米跑, dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_man = pd.read_excel('./体测分数_男生.xls')\n",
    "data_man['男1000米跑']\n",
    "\n",
    "data_man_b = pd.cut(data_man['男1000米跑'],bins = 3).value_counts()\n",
    "data_man_b\n",
    "p = data_man_b / data_man_b.sum()\n",
    "display(p)\n",
    "label = ['low','mid','high']\n",
    "# display(data_man_b)\n",
    "_ = plt.pie(p,labels=label,autopct='%0.2f%%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "78618380",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([3., 0., 0., 1.]),\n",
       " array([  0., 147., 294., 441., 588.]),\n",
       " <BarContainer object of 4 artists>)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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dbuhi4CDj7GW1PyhYxgcLlwD/Su8451+udj0j1vxZ4Engv+n9ln4vveOU9wPfB/4FeEU3N/TO5PkB8DAws9r1D/TyFnp/Eu4H9nWPSya4nzcB3+36eQS4vht/LfBtYA74e+CUbvxF3fpct/21q93DcXq7ELhnkvvp6n6oexx4/md+gt9vZwGz3fvty8DLx9mLl/5LUiMm7ZCLJGkRBrokNcJAl6RGGOiS1AgDXZIaYaBLUiMMdElqxP8C7SEqIlgzMNUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_women = pd.read_excel('./体测分数_女生.xls')\n",
    "data_women['女800米跑']\n",
    "data_women_c = pd.cut(data_women['女800米跑'],bins=4).value_counts()\n",
    "\n",
    "# 绘制柱状图\n",
    "# label = ['1','2','3','4']\n",
    "plt.hist(data_women_c,bins=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "3bc71111",
   "metadata": {},
   "outputs": [],
   "source": [
    "## 男生。先查看数据最大最小值，确定切割范围\n",
    "data_man['BMI'].max()   ## 39.27000045776367\n",
    "data_man['BMI'].min()  #0.0\n",
    "data_man_bmi = pd.cut(data_man['BMI'],bins=[0,16.4,23.2,26.3,40]).value_counts()\n",
    "p2 = data_man_bmi/data_man_bmi.sum()\n",
    "# labels=['低体重','正常','超重','肥胖']\n",
    "# ## plt.figure(figsize=(12,9))\n",
    "\n",
    "# plt.pie(data_man_bmi,\n",
    "#         radius=1,autopct='%0.2f%%',\n",
    "#         labels=['1','2','3','4'],\n",
    "#         wedgeprops={'linewidth':5,'width':0.3,'edgecolor':'white'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "9b16335e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/c4/ylwfl5_n7g7cwc5yq3pl4bc40000gn/T/ipykernel_1157/544687145.py:7: MatplotlibDeprecationWarning: normalize=None does not normalize if the sum is less than 1 but this behavior is deprecated since 3.3 until two minor releases later. After the deprecation period the default value will be normalize=True. To prevent normalization pass normalize=False \n",
      "  plt.pie(p1,\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "([<matplotlib.patches.Wedge at 0x1776d0ca0>,\n",
       "  <matplotlib.patches.Wedge at 0x1776d0cd0>,\n",
       "  <matplotlib.patches.Wedge at 0x1776e6a90>,\n",
       "  <matplotlib.patches.Wedge at 0x1776e69a0>],\n",
       " [Text(-0.5607369799041373, 0.5277063950417763, '低体重'),\n",
       "  Text(0.35003520635147956, -0.6858391606743356, '正常'),\n",
       "  Text(0.6994331884714985, -0.3220143084780445, '超重'),\n",
       "  Text(0.7670447364728842, -0.06739712344932558, '肥胖')],\n",
       " [Text(-0.28036848995206864, 0.26385319752088815, '75.97%'),\n",
       "  Text(0.17501760317573978, -0.3429195803371678, '13.09%'),\n",
       "  Text(0.34971659423574925, -0.16100715423902226, '8.15%'),\n",
       "  Text(0.3835223682364421, -0.03369856172466279, '2.79%')])"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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mqtdW8n+L9rR0SCIwH7g+eFYJQk1YizswCPgb4J+wfSdw+aGfb5BleTqKC/uSw8dKkjQGZd/8mUPHfQi8J0mSVqe0T4A/owTRLTz0874AvYbWkgjMQ+m/rmJ9QRWnP7uUn7aVBtcqgUBwwnh9Mo9/t51b31lLg0uzWqQJeAl4GqVXhEDnhLW4y7K8QZbl+hamD4vvoEPftx6KlgclUO5fKEJ5eOUeiRIFv1SSpFGHxg6XldoPbEZx9Zce+jnmqHN3NDkoe/tTtSY/WLWfC+f+ysFqUf9CIOjKfLOpiHOfX0ZBy62W7wK+RL0NKdAZYS3uGhzueHYmivt8CXCpJEkSMOOo46YBbwLPATegRKR+hPL37I2SbwpH3GA3AJ+juOUvOvRzbwBJko4+b0cwGiVav7/W5JM/7OCPn2zE7RVueIFAD+woqeOcF35h5b7Klg45DeVmPzN4VgmCjRB3hcOBZTcc+h6JUunpBxSh/x44XODGCHwBvCbL8lTgf4BdluVMWZZPBvrIsvzaoWP/JcuyJMvyyEOu/UrgrUNBdxJKsYn4DnxdZ6BE96f5T7i9Pu7+cD3P/SyCaAUCvVFZ7+Lyl1fw4er9LR0yGFgMZAfNKEFQEUVsFCSUyPXXUVbUtwLfoojxhSjR5cMPVZQrA/LkIzmEBhS3OwBHFbMZDDwvSdLRS+JYFE/A4Sj6AUCsJEkHZVleHuDXdCNKRLzqBq7W4eamt9awbI9o+iIQ6BWX18e9H29kV4mdP83ur9V8pjdK1s5MYHvQDRR0KGGf595RHCpiY5BlOdi9UA0okf33aU0WVjdyzWur2FFSF1yrBAJByJgxIJVn5owg2qq5nitD8SKuD6pRgg5FiLu+sAKvcSQfvxnbimq5+rWVlNQ6taYFAoGOGdwtljevHUdilEVruhplL/7XoBol6DCEuOsHG0qg3ilak4t3lnHLO2uxO4PtSBAIBJ2FPqnRvH39ONJiNSte16NUs/spuFYJOgIh7vogAkXYNbtBfbh6P/d/ukkUphEIBGQlRvLO9ePokahZstaJEmf0VXCtEgQaIe5dn0iU6P2ZWpNPz9/Bsz+JiHiBQHCE9Fgb71w/jt6pmn1lPMAVKL01BF0UIe5dm0iUO+yT/Se8Ppn7PtnIR2sOBN8qgUDQ6UmKsvDWdWMZmBmnNS2jpAa/HFyrBIFCiHvXJQpF2E/yn/B4fdz5wXq+3lgUfKsEIcNogPTYCDLjbKTF2UiKsmAzG7GYDHh9Mh6vD49PxivLeLwy7kO/u70+ahvdVDe42V/VSGW9K9QvRRAkYiNMvH71WEb2TGjpkLuBfwfRJEGAEOLeNYkAvqEFYb/j/XV8u6k4+FYJOoSkKAvjeiUytHs8fVOjSY+zkRBlIcpiwmIyYDJIGA0SSiHFE0eWZXyyUuio0eWl1uGmot5FSY2D/Ip6NhXWsnxvORV29/FPJuj0RFqMvHTlaCblJrd0yH0otT4EXQgh7l0PK/AZMNt/wu31cft76/h+sxD2rkaUxciUPsmM75VE3/QYusVHkBRlIcJiwqguPtIp8Ph81DS4KaxpZGexnXUFVSzeVU5BZYt1zQWdFKvJwHOXjuQ3A1XFLA9zPfBKEE0SnCBC3LsWJpTuc+f6T7i9Pm57dx3ztghh7+xYTAZmDkhl5oA0hnaPp1t8BDazIWAr71Dj88nUOtzklTewYl8FH63ez+6ylvozCToLJoPEvy8ezpnDNEvO+4DzUIJ3BV0AIe5dByNKs5pL/ScUYV/LvC0lwbdKcFySoixcMjaL6f1S6JMWQ6zNpBshby0uj4/9lQ0s31fB52sPsiq/KtQmCTQwSPDoeUOYMyZLa9qBkm67JLhWCdqDEPeugQGlQc11/hNen8wd763jm00ieK4zcergdC4dm8WIrHiircETc2eDG0e9B2eDG1ejFyXoWUI61GGgyQ5J+VmSQDJIWCNMWCOVL4Ox4/tJeX0yRTWNrM6r4t0VBazMa7GDmSDISBL85+LhnD28m9Z0DUrr6I3BtUrQVoS4dw2eRunDrOLuD9fz6dqDQTZH4E9CpJlrJuUwe3A6OSlRmAyBE0if10ddhYPq0kaqSxuoLW/EYXfjqHfjrPfgaFC+Oxs9yAEoVGS2GrFFmYmIMRMZayEyzkpEjIXoeAtxqZEkpEcSnaBZ4azdOD1eNu6v5q3lBXy5oTCg5xa0HbNR4uUrRzOtX6rWdDEwEdgXXKsEbUGIe+fnVpS+8Sru/3QT764sCLI5gsP0SY3mtpNzmZKbQkKU+YRX5/YqB1XFDdSUNjQJeU1pI7Xljfi8netzarYaiU9ThF75HkV8WiTxaRGYzMYTOrfH62NbcR0frNrP+6sK8HSy1x4uRFqMvHv9OIZnaabJ7QYmAaXBtUrQWoS4d25ORUl5Uy0D//7VFl79JS/oBoU7iZFmfn9KP04fkkFcRPsF3WF3U5JXS2l+rfI9r5bGuq6fWiZJEJsSQUbvONJ7x5PRO47EjKh2n8/nk9lbbufTtQd5eek+XB5fAK0VHI+ESDMf3zSxpUp2a1DScUWLyU6IEPfOy2BgGRDjP/GveTt4foEoKRssJAkuH9+TayZmk5Mc1S5Bry1vpGh3DYW7qynaU01VcYOyHR4G2KLMpPeOOyT4caT1jMVobvu2hc8ns7mwhn/P38mCHWUdYKlAi27xEXx88wQy4iK0pn8CTkepSS/oRAhx75ykASuAnv4T767I5/7PNgffojBkZFYCv5/Vl7E5iZjbGGTm9fg4uLOavI3l5G0qp67C0UFWdj2MJgMpPWPo0T+BnGEppGSp7l+PS53DzTcbi3j8+21UN4hOhx1Nn9RoPrppAvGRmu1iP0TJ4vEG1yrBsRDi3vmIAH4GxvtPLNlVxjWvrRLd3ToQo0Hi1pN6c+WEbJKjrW16rMPuJm9zOXkbyynYWonbIa51rSEm0UbOsGRyhqWQ2SeuTdH6siyzpbCWx7/bxtLdFR1opWBkVgLvXD+OCItmTMXzwO2EjT+q8yPEvXNhAN4FLvaf2FVSx/kvLqPWIVYpHUG01cjfzx7MGUMzsZhaLy5VxfXkbSxn38ZyivfWBiRaPZyxRpnIHpxMzvBksgYlYdYWEk2q6l28/ss+nl2wG3FZ6xhO6pfKS1eOwqR9A/YH4KkgmyRoASHunYu/A3/xH6ywOznnhV/YX9kYApP0TWa8jcfOHcLkPimtLvPqbHCzc2UJW38ppHy/vYMtDF9MZgM9BibSd1w6OUOTMbbypsvp9vLOigIe/W6biLTvAM4b2Y2nLxquNeVFaT29MJj2CLQR4t55uBx4y3/Q6fFy6UsrWCMqegWUwd1i+cc5QxjaPa7VAXIHtlexbVkhe9aV4XWLqO1gYos203dsGgMnZZLUTTNyW4XL4+X9Vft5+OutuIXIB5TfTunFA6cP0JoqA0YCotd0iBHi3jmYjBJ1qopW+d376/hivSjqESjGZCfw+HlD6ZXSuqh3e5WDbcuK2P5rEbXlIiiuM5CaHcPgKd3oMyYNUyvc9i6Pj0/WHuCvX27BKVLpAsaDZwzk2sk5WlMrgGmICPqQIsQ99PRC+TCo+i0+89Mu/j1/Z/At0iGDu8Xyn4tH0LuVor5vYzmbFx1g/9ZKsX/bSbFGmug3Pp3BU7uRkH78XHq318fn6w/y4OdbaHSLYMcTxWSQeOf6cYzrlaQ1/SJwS5BNEhyFEPfQEosi7P39J77aUMjt760LvkU6IzPOxnOXjWREj/jjirrP62PX6lLWzsunslB0MetK9BySxJjTsknLiTvusR6vj3dW5PPXr7aKG7cTJDnawte3TyE9TrMc8dXAG8G1SHAYIe6hQwLeRqPL29r8Ki55aXmndiF6akpxleVhjIjF2u3IvUntmq+IHjwDgzUyhNaBzWTgyYuGcdqQDAzHEXWP28v2ZUWsm18gXO9dnO4DEhg9O5tufTVLpjbD7nDzp0838dVG0XTpRBiZlcD7N4zXyjJxoNSgF6uUECDEPXRcBbzuP3igqoFznv+Fcrsr+BYdA299NRiMGCOUgiNFb95F+qVPUPzuH0m98G8YI2JwFGyi+pf3SJvzj5C2NL1jRi63ndTnuCltLoeHzYsOsuGn/TTUdq6/t+DEyMiNZ/Rp2WQNTDzmcbIss6vUzo1vrmZfRUOQrNMfV4zvycPnDNaaygNGAaLtX5AxhdqAMKUvStGHZtidHq59fdUJCbt9009UfPvvZmPpl/+L4rfvafo96bQ7iR4ys9kxVYvewL5xPpLZSuLJ1xPZdwIAPpeDqgUvY0ntRfTw2cqYw46raBeSyYxkNOM8sAVb9ggqf5xLyrn3h0zYx2Yn8MLlo45bfKbR7mLDTwfYvOgATlHdTJcU7a7mq2fXk5YTy6jZ2eQMVYW0AErb275pMfz0h+l8u7GIuz5cLyLr28Fby/MZnhXP+SO7+09lA+8AZyAq2AUVIe7Bxwq8D6gigP7y+WZ2lpxY3rRkNJFy7gMAyF43deu+xZzUg/ipVza5z83JzavaNu5ZhTWzP/FTr6Dim39T8cPzRPadgM/VSPHb9xA3/kKiBk5rOr7ZpU+SQJKoWfoOUYNOxpyQeUL2tweb2cBLV4xmcp/kY95YeFxeNvy8n7Xf5+MS1ePCgpJ9tXz7wkaSe0Qz/uze9BysGfyFQZI4Y1gmMwem8di323nj17zgGqoDHvhsEwPSYxiYqYp7OBV4CHgw+FaFL4FrOi1oLY8BI/wHP1l7gM/WnXhf9sgBU4nsO6Fp5X1YlK2Z/bFlDcWWNRRjZPMPnzE6kcg+45AkA9ZuA5CMZgBqV3yKZDQ3E3YAoy0aS1pvfK5G8PmQjBYcB7YQO+bsE7a/rZw5NIN1f5nFlL4pLQq77JPZ/msR7zy0nOWf7xXCHoaU77fz9XMb+Pr5DVSXtux+t5mN/O3sQSy59yRyU1qXTy9QcLh93PT2WmoaNbsb/gVl9S4IEmLPPbichtLCtRn7yus549kl1LsCKzqlnz5C0uzfIUkSha/cis9px5rZn6TT7sQUm6L5mJKPHiKyzwRihp/KwZduImrgNIxR8bgrDhA3/kKMUfEAuKuLcZcXYLDYqFrwGkmn/Q5LSnZA7T8WURYTr10zhjHZCcdcrRfuqmbJhztFJTlBEwaTxLCTejD6tGwsES07L32yzNxFe/nn99uDaF3XZ3q/FF69agwGdcXHGpT99z3Btyr8ECv34JGBRgCdy+Pj9vfWBlzYvQ47yDLGiBgkk5Xks+4h/bIn8LkaqPrpJc3H1K7+ElvWUGKGnwqAp6YEY3QiMYf22ivn/1/Tseb4dCJzx+LYvwVrZl88VYU4C3cE9DW0xAWjurP2wZmMzUlsUdjtVQ5+eHkLnz21Vgi7oBk+j8y6+QW889Byti1rOVLeIEncPL03C/8wnfTYtjURCmcW7ijjmZ92aU3FoVThbH3DAEG7EeIeHAwob2rVcvmJedvZfLA24E/YuGsFEbnjAJBMZmw9BmNJ603chItxV+xXHd+wYxmmmGTixp2P12HHY6/EYLZxOBHYnNRD9Th3+X4ady3HY6/EnNyTyp/+h8/ZcRHHsTYTX9w6iScvHIbVpH198Hp8rP4uj3f/uoJdq0s6zBZB16eh1sXPb27jo8dWUby3psXjspOjWPrHk7lqYnbwjOviPPvzLn7apvn5mwDcozUhCCxC3IPDvcAM/8GFO0p5Zem+DnnCxr2rieyjiLu7Yj+yV4kK9zbUEnFovHblp3jrq3FXHqQxfwPG6EScB7dTs/QdvPZKrFmDmwTdW1+FNbNf0/ll2UfFvP+SOOsWnAWbkYwmJIMJ54EtHfJ6Zg1MY+UDMxnWI77FY8oK6vjw0VWs+GIvbqfYVxe0jtL8Oj751xp+fG0rjnrN/WJMRgN/PXMgX9w6iWiriEM+HrIMd324ngLt9MK/A8ODa1H4Id6lHc944BH/wbI6B3/4aEOHVMiSZRmfq6EpcM6+4Qdc5QVED5mB7KwnfvLl+NxOatd8hSW9Dw27V2Bf9w32dUfCAWLHnkvijN9S+cOL1K75Ck9NCQknXds0X7fmKywZfbFm9kP2HErdkyR87sCXk/7vJcM5Y2hmiy54r9fH6m/yWPt9Pj7RclXQHmTYsaKY/dsrOfmK/vQcrE6dkySJYT3iWfPnmdz1wXq+3VwcAkO7DrWNHu7+cD0f3jjBf//djOLJHI2oP99hiIC6jiUOpTqTqrvC5S+vYOnu8uBbFADc1cWUffoI6Vc8icFso+jNu0g+8x4qvvk3SbPvwJzUIyDPkxRl5vNbJ9MjseVqd+UH6vjp9W2UHxD76oLAMXByJpMvyMVs017/yLLM/K0l3Pj2GlHC9jjcd2p/bpreW2vqCeCPQTYnbBDi3rG8hdLKtRkvLtzNP78PTvBZR1D+zdNED56JredQABrz1uOu2I+3voqEqVcG5Dmm90th7hWjWtxb93l9rPk+n9Xf5uETRUcEHUBsso0ZVw0ks098i8cU1TRy1n+XUtbJKkp2JixGA1/cNokBGbH+UzJK97glwbdK/whx7zhmAfP8B9cXVHHB//2Kpwu7j31uJwZzx0UP/+X0AVw7OadFN3xloZ0fX99GWUFdh9kgEIBSo2nYzB6MP6s3RrN2iJLT4+WGN1azaFfX9MQFgwEZMXxx62StktC7gWGAqP0bYIS4dwwRwCagmS+qzuHmtGeXsL+y8YRO7irLp37rQqKHnYI5Pr1pXPa4qFv3LdFDf4PBqhTAq1r0BrLbQcyI0zEndadu3bc07F5B0uzfYYo+dt1tAJ+rkcbdK/DUlBI77nwkQ8dlsUSYDXx880QGqStcNbH+xwJ+/XwPPo943wqCR2JmFDOvHkhKVozmvCzLPLdgN0/9IFo0t8RN03px3+wBWlNPIiLoA44IqOsY7sdP2AH+/tXWExZ2AEfBRmqXf4QlPRfZ7cAUl4Z94w/UrvocX0MtjXnrSD33z0gmM879m3EW7iBq0MmAUhfeeXB7k7DLsty0QpZ9XjxVhbjK8nGV7MFZuB1X4U6lhrwlAk9dBUmzbj5h+7XolRzF57dOIjbCrDnvdnj4+a3t7F5T2iHPLxAci8rCej7+52omnpfLsBnqmBJJkrj95D4M6x7Pla+uDIGFnZ//Ld7LzAFpjM5WLSruBj4EVgXfKv0iUuECzwA0gkSW763gozUHAvIEzoJN2HoOx5rZn6JXb6N2xaf4XI14a8vIuO550i78G5LJjOz14CrZS2Sf8Vgz+igPPsrVbd/8M6UfPIDP7USWffgcdjAYsXbrT+zY83CX7yd6+Kn0+N37dPvtXKL6T6bk/QeORMcHiJkDUvnhrqktCnt1SQMf/3ONEHZBSPF5ZZZ+tIt5L29uMdVyat8Ultx7ErEtBOKFMz4Z/vjJRpxu1d/OALyG0ndDECDEOzCwSMCLKKkeTbg8Ph74bHNAnkD2uGjMW0dkv0lIknJvZus5RGnJChgj45BlH5JkwFm4HdnjxJTUneJ370P2unEV7kCyRChd4g652Ou3LsSc2I2Kb5/BU928Ylfd6i+oW/1F0+/WbgOp37ZY1VWuvVw9MZuHzhzY4v763vVl/PT6VlEPXtBp2L26lMrCembfOIT4NHUmR4/ESH790wzOf3EZ24tFXMjR7Cmr5z8/7uKPs/v7Tw1C8Xg+FHyr9IlYuQeWq1CiP5sxd/Ee9pQFJlWrfusiZLcT2b8S3CGhdpXupeiVW/HUVVC/dREAsstB+qWPEzf+QuVYyUDUoJNIv/Rx0i99nJhhp2DrMZj0y54AIGHmjfS46yMMkfHEjjufHnd9hLX7QIzRiaRc8GDAhP2B0/u3KOyyT2b5F3v4bu4mIeyCTkdlYT0fPbaKvI3aQXRRVhNf3z6ZybnarWbDmf8t2cumA5oVAe8HhgbZHN0ixD1wJKMEhjQjr7ye537eHZAnkH1e3BX7sfUc1my88qeXqFn2PgDVC17DEBlH9eK38DZUg8GEwaYE19k3/YhkiQDAU1uKp7ZM83nq1n5D6cd/w+ewU79tMaUf/w1XWT4GWzRGW2A6ZT1/6Uiun9xLU9gddjdfPbeBNd/l+/WXFQg6Dy6Hl29f3Mjaefma8yajgTevHctpg9M158MVr0/m3k824Pb6/KdMwHMoHlDBCSLEPXA8AaiaRf/li804Pao3cbtwl+cTN+nSZvvmAIkzfkvyGb9Xfj71NtIvfZzY0WeScua9Tcc6i3birjhAzKizAIjqP4XyL/+lWQs+st9E4qdegcESgS1rCPFTr8AUlxaQ1yBJ8OnNEzl9aIamsJcfsPPhY6vYv7UyIM8nEHQksgy/fraH+a9uwaPeS8ZgkHj+spFcPDowhZ30wraiOl5cqNkcbgpwfpDN0SVC3APDVOAa/8Ev1x9kSQBzXy2pvTBYbJpzpjhldeAuLwDAnJSFZFK2/n2OeqoWvErK2X9serzP7UQymSl+516cxYpnQT60TDbFJGNJ7gkGI8bIeCzJPZFdjU3nbi82k4GFv5/OyJ4JmvOFu6r57Km11FU4Tuh5BIJgs3NlCZ8/tY7GOnWwqSRJPH7+EG6YqipUGdY89/Nu9pRqblc+AWhf6AStRoj7iWMB/s9/sLbRzcNfb+vQJ5Z9SpOLht0rqd+2GGv3QcqevCzjyF/fdJxj/2aiB59M5fz/w77+e2RXI+VfPI4sy3iqi3GXKs1r7BvmNX0v/fQRxS2/fQmlnz7SFGjXmLee9hBtNbHo3pPomRylOb9vQxlfPrseV6OnXecXCEJNSV4tnz21FnuV+uZUkiT+NHsA95zSNwSWdU5cXh8Pf7NVayoH+F2QzdEdIlr+xLkHJf2tGU98v50yewf1RPAp7r+69YoYy24njbt+xZYzgpol71D64YNE5I4lAkD2EdlnHFFDfkP00FnULP+ImuUf0/3WNwHw2Cubct7jxp1P/KRLmp5m/3OXEzXoZBKmXgFA4751+Jz1bTY3IdLMz7+fTkKURXN+2y+FLHhnB3IXrtonEABUFTfw6b/Wctadw4lPbR5JL0kSt0zPJS7Cwp8/D0z2TFdn4Y4yFu0oZVq/VP+pB4DXAdG3uZ0IcT8xegN/8R9cV1DFOytPzIV9bGSM0YlED5mBp7qIxFk3U/rRXzHaYkg+5z6qF76Ou3Qfss+LMTIOU1zakf1tWcYUcySC97Cwu8ryqJzf3AEhOxtp2LqwqY2ru+IAsqsBU3QS1m6qVBZN4iJMLPjDdOIjtYV97bx8fv1Mc+9NIOiS1FU6+PRfazjrjuEk92he0U6SJC4f35O4CBO3v7c+NAZ2Mh75ZhuTcpMxGZs5kmOAh4EbQmNV10eUnz0xPsYv+MPj9XHmc0vZVtS18ltl2QeyHNDysjE2E4vvOanFFfsvn+xi/fz9AXs+gaAzYYkwcfqtQ8nMjdec/3J9IXe8vy64RnVS/n72IK6ckO0/7ANGAhuCbpAOEHvu7Wc8GlGdr/6S1+WEHUCSDAEV9kiLoUVXvM/r48fXtwphF+gaV6OHr55dT/7mCs35s4Zn8tAZA4NsVefk3/N3Utvo9h82AP9GpMa1CyHu7UMCHvcfLKl18J8fReMIs1Hix7unkxKjribp9fr4/n+b2bG8OASWCQTBxePy8e2LG9m9Rnvr+OpJ2dyq3es8rKhqcPPMT7u0pk4CzgqyObpAiHv7OBWNSnT/nr+TBld4V1OTJPjhzqlkxkeo5nxeHz+8vIV9G0RrTEH44PPK/PDyFnasUN/QSpLEH07px0Wju4fAss7Fm7/msa9cM2D3SZSsJEEbEOLedozAP/0H95TaA9YYpivz6c0TyUlRV7GTfTI/vr6Nveu0q+IJBHpGluHnN7ZplqtV8uCHcnJ/VcR4WOH2yjz6rWb6cC5wW5DN6fIIcW87lwJD/AefmLcdb5incj136QhGZGkXqFnw9nZ2rRJZLYLwxeeTmffSZgp3VavmDJLES1eOZkRWfNDt6kzM31rCL7s1PXsPopT4FrQSIe5tw4KSntGMtflVzNsS3sL1h1l9OWNopubckg93sm1ZkeacQBBOeNw+vnlhI+X71UG3RoPEBzdMoFeKdqGncOGRb7biUy+U4oC/Bt+arosQ97ZxLdDTf/Dx77eHwJTOw6mD0rn1pFzNudXf5rHxZ7FdIRAcxtXo4av/bqCmVN3XwWIy8PVtk0mINGs8MjzYVlTH+6s0M2l+C2QE2ZwuixD31mNDqZrUjJ+3l7JyX/g2OemVHMVzl47QbAKzefFBVny5NwRWCQSdm4ZaF188s576anUVy0iria/vmBICqzoPT8/fQZ1DlRpnAe4OgTldEiHured6QBXS+tQPO0JgSucgymLk89sm+VeWAmDP2lIWvxe+fxuB4HjUVTj48tn1OOpVIka3+AhevnJUCKzqHJTbXbyxTLOV7k1AYpDN6ZIIcW8dEcCf/AfnbSlmS2FtCMzpHHx1+2RibWr3YVlBHT++thVR/FAgODaVhfV8/dwGPBoptDMGpHHd5PDtJPfaL/toVP9dohGR861CiHvruAFQRYuFc8GauVeMopdGyltjnYvv/m8THndgetgLBHqnZF8tC99Re7kkSeKB0wYwrHtcCKwKPRX1Lt5fpdmj43coIi84BkLcj08kGqv2bzYWdckys4Hg2knZnDIoXTXu8/r4/qXN1FWKfuwCQVvYsaKYjT+rg8gMBol3fzueaGt49vh6afFe3F7VQiERJbhOcAyEuB+fK4G0owd8PplnfgrPVfvAjBj+fLp2PeylH+2icGd1cA0SCHTCLx/v1syBj7Ka+OLWScE3qBNQWOPg83UHtab+AKjrWwuaEOJ+bCTgDv/BrzcWsrPEHgJzQovFJPH+DRMwGNSR8Vt/KWTTQs0PoUAgaAWHi9zYNSLoe6dG89RFw0JgVej5v0V7tPLeM4ErQmBOl0GI+7GZCQzwH3xxUXj2H3/1qjHERqgD6Ir31rBIRMYLBCdMQ62L7+duwqsRs3LeiG6cN7JbCKwKLXvK6vl+i2ajqT+ilAMXaCDE/dioVu3L91aE5V77BaO6MylXXf2xvtrJd3M34fOI0HiBIBCU7Ktl8QfqbT9Jkvjn+UNJiQ6/HiovLNytNZwLXBBkU7oMQtxbJhc43X/wtV/ygm9JiEmJtvDYeUNUhWq8Xh/fzd1EQ40rRJYJBPpk69JCtixRb3OZjQbeu2F8CCwKLZsP1rJ4p2bTqfsR/d41EeLeMrfj96Y5UNXA/K3h14f8gxsnYNYoVLP6mzxK9oVvnr9A0JEs/mAnJXnqz1duagx3/aZPCCwKLc8v0Fy9DwVOC7IpXQIh7trEAtf4D76xLJ9wa/z2wGkDNPPZS/bVsOZ7zQpSAoEgAPg8MvNf3YJbo8DN7Sf1oXeYNZhZsa+S1Xmapb5VqcoCIe4tcTUQc/RAg8vDB6s1Cyrolv7pMVw3RV0hy+3yMv+1rcjhdqcjEASZmtJGfvlYvWI1GCTevm5cCCwKLS8s1AxmngSEZyrBMRDirsaA4pJvxqdrD1Lb6AmBOaHjjWvHYtBoCPPLx7upKW0MgUUCQfixZfFB8jere5xnxEdw/2n9Q2BR6Ph5eynbijS3Aq8Lti2dHSHuamajBNM14/VlecG3JIQ8eMZA0mJtqvH8zRVsWSzy2QWCYPLzm9tptKsDV6+f3IvspMgQWBQ63lmuuR14OUrnTsEhhLir+Z3/wOKdZewuDZ+iNd3ibVw9MVs17rC7+fmtbcE3SCAIcxpqXSx5f5dq3GCQeDPM3PNfbijE4VbFISQA5wTfms6LEPfmDAR+4z8YbulvL181RrMK3cJ3t4u0N4EgROxaXcLe9ep0sKzESG4/WeVs1C21Dg/fbirSmhKu+aMQ4t4c1V77vvJ6Fu4sDYUtIeGsYZn0T49Rje9cWcyetZp5pgKBIEgseneHZv/320/uQ4Q5fC7nH6xSN9lBqSgavj1y/Qifd8PxiUZpEtOMN5blhU1fcqMBzWI1zkYPSz9SuwQFAkFwaah1sfRD9WfRYjLwnzkjQmBRaFixr5J95fVaU6oU5nBFiPsRzkJp79pEncPNx2sOhMic4PPP84cRpdFacuVXe2msU68WBAJB8Nmxolize9ysgWn0Sg6f3PePVmuu3q9B1JsHhLgfzSX+A19tKMTuDI/0t+ykSM2mFJWFdjaLbm8CQadi6Ue7VHUmJEnixctHhcii4PPxmgN41bU2uqMRNxWOCHFXSARO8R/8ckNhCEwJDS9ePkozp33Jh7u02i0KBIIQUlZQx7Zf1UFlfdOimTUwLQQWBZ/SOicLdmjGQ4nAOoS4H+Z8oFkv0+IaByv3aZY61B3T+6VoBtHtWVvKge1VIbBIIBAcjxVf7MXlV1jrcOe4cOFD7cC6s4GUIJvS6RDirqByyX+9sTBs6sg/ecEwVRCdx+Xll080GzUIBIJOQEOti9Xf5anGE6IsYdNY5uftpZTVOfyHzShFbcIaIe6QCUz3HwwXl/zVE7NJjrGqxtf+UEBdhepDIxAIOhEbft5PTZm6FPQt03KJNOs/rszjk/lkjWZM0HWEeStYIe5wEX5vgrzyejYeqAmROcHl97P6qsZqKxpZO090fBMIOjs+j8wvH6tT48wmA09dFB69VD7UjpofBIwOsimdCiHuMMd/4KuN4bFqv3l6b2JsZtX4r5/uwev2hcAigUDQVvZtKOfAdnV80KxB6URZ9L9631te31J81PnBtqUzEe7i3gtQFWb+cn14iPttJ6lLVpYfsLN7bfhU5BMI9IBWkSmjQeLvZw8KgTXB5/N1mq758whj13y4i7tq1b6tqJZdYdAk5o4ZudoFa77eC2ESSCgQ6IWKg/WadefPGt4Ni0n/l/n5W0u0Unb7oPQLCUv0/18/NpqFa8KBG6f2Vo2VFdSxb726b7RAIOj8rP42TzVmNhq4/7QBwTcmyJTZnawp0EzbPTfYtnQWwlncBx/6akY4RMnfMLVXC6v2fSGwRiAQBIKygjoKtlSoxueM6YEhDK7087YUaw2fF2w7Ogth8C9vEdWqfW1+FQeq1GkleuOmqb1UY+X768jbKFbtAkFXZvV36iwXm9nIXTPVWTF6owVxHwFkB9eSzkE4i7vKXRMOq/ZTBqWRGK3Oa1/zvUh9Ewi6OkW7qzWbylw7Sf+dUPdXNrK1UDOF+Zwgm9IpCFdx7waoNqK+2aSu1aw37put3n+rLm1gj4iQbxMNzjo25v3CjoPrmo2v2PkDVXbxtxSEjjXf56nGoqwmrp+if4Gft6VEa/i0YNvRGQhXcZ/hP7ClsIayOmcobAka2YmRZCdFqsbXzssPm571geK9xf8mLT6LBRs/priqAICS6v38vPFjom3xoTVOENYUbKmkNL9WNX6rRuqr3vhxm6a4TwOig2xKyFFHVYUHM/0Hlu7S/37zX84cqKoh31DjZMcKzb2qLsnyHfN4e+ETzcbuPvtZnv7ijqbfL59+D+P7ndr0u0/28emyF0mMSaOkej9TB51Nt6RePPPV3ewq3NB0XM/U/txz7vMAbD+wmnPG30CkNYZtB1aRFt+D9xb/m4sm3Y7ZZOngVykQHJs13+cz+8YhzcYSIi1M65vCop3qlDm9sKWwlpJaB2mxtqOHLSgLui9CY1VoCEdxl9AQ919261vcjQaY2lfdKGnrsiJ8Hv0s201GM7+d9TcAPF43S7Z+RXpCT84cex05aUrKa2ZCc/fkyp3zWbb9W5689iuWbPmStxb8k/sumMvAHmOYPlgJtt1+YA09ko+sfA7/xSRJQpIMLNn6JZmJ2fTOaH5BFQhCwd71ZVQV15OQHtVs/K6ZfXUt7gALdpQyZ0yW//DphJm4h6NbfgCQcfSA0+NlZZ6+27veelIuZmPzf7fsk9m6VF9BhKN6n8SwnMkMy5kMwOjckwDISR1A38zh9M0cTnREXLPHFJTtIMIShUEyYDXbOFCxG7ujhpnD5jSdq7ahkhG9pjU9pl+3kTjdjTjcjaTF9WDJ1q84e9xvg/dCBYJjIaP52R7aPY4Is74v+wu2a968nEaYVavT939ZG9WqfU1+FQ6d11K/ckK2aqxgW6XuOr8dve2wZs+CJkF+c8Hj3P3K6fz363tUAW+ZiTnUNlZRU1+B0638PdweZ9O5ahsqMRiMRFiPbNtdMuUuymsLmTzwDBZu/pRzx92A1RzR0S9PIGg125cX4/U0v64ZDBJ3zNB3Wtwvu8txeVTX825AWLnVwlHcf+M/oPf99rE5iSRrpL9tWaJZj1kXNDjrkGWZKFssZpOFq09+gLvO/g8OVz0fL3uh2bET+5/GOeNvYNn2byivLSTaFkdcVHLT/Lq9ixmeM6XZY6Ij4hiaPYm6hiqspghcHic7/SLnBYJQ4rC72bdBvYq9cHT3EFgTPOxOD6u0PbGzg21LKAk3cTej0btd7/vtv/+N+k69vtpJ/kZ1NSu9sDFvGUOyJwBgNlrIzRxKj+Q+nDLyMkqqmuf0GwxGZgy9kNmjrmRv8WZmDLsIg3Tko7GlYDmDe45XPUddYxXz17+PzRKF1RzBz5s+obxW/+mUgq7D1qXq92NSlIWh3eI0jtYPC3ZopqNODrYdoSTcxH0sfikRtY1uNh3Ub+92gwSjeiaoxrf+UqjVaEE3bC1YyZCeEwEorirA6/UAYHfUMCR7EgA/bfiQusYj9ag35S3DZoli+pAjFSsbnHbMRqumy/2jpc9x2ugr2V++E6PRRKQlmq37V3bkyxII2sT+7ZXUVjSvuilJEvfO7h8ii4LDir2aK/cJhNG+e7iJu2q/fdmeCnSscVwzMRuTRiDdtl/0u8KUZRmHu4GYiHgAlm3/lrnz/sya3QtodNVzxuircXmcLNz8WVOO+qpdP3Gwch+3zH4Ms/FIKtueoo306z5S9Rwb837BK3sZ0Wsabo9SH0GSJFxufcUwCLo4Mpqf9fE5ibquN7+tqJZGl9d/OAmlU1xYEG6pcOr8dp275C8d31M1lr+lgrpK/YqQJEncctpjTb+fN+Em1TFGTDx82XtNv4/OPVlVAwBgSPZE1Vij085XK1/l9jP+BUBGYg4+nxevz0tmov6rgAm6Ftt/LWLMGTkYDEfe3yajgesn9+J/i/eG0LKOw+OT2XigmnG9kvynJgI7Q2BS0NHxvZuKGEC1carn/XarSSInOUo1rrf0t0CgJewt8dPGj5gx7EJiIxMBOHXk5RSU7SQ2MoH+PUZ3lIkCQbuwVzk1u8VdoXHjryfW5Gu2gJ0QbDtCRTit3Kfi93oPVDWwr7w+ROZ0PNdMysHgJ1quRg/5Gh90QeuZNeJSLKYj2QfdknrRLUndaU8g6Cxs/aWQ7CHJzca6J0QQZTFR7/KEyKqOpYX+7mpXnE4Jp5X7dP+BX3brW+QuGKVOecnbXKGrinSh4GhhFwi6AvmbK3A1NhdxSZK4dnJ2aAwKAusKqrWGBwHxQTUkRISTuKv8pcv36lfcbSYDvVLUvRL2rdd36UmBQKDG55HJ26Tegjx7eLcQWBMcKutd7C2z+w9LwLgQmBN0wkXcDcAo/8EN+6uDb0mQuGpStsol73F7yd+s3xsagUDQMns1bux7pURh0rEKrNV2zYfFvruO/63NyEUJqGuizuFmX4V+99vPH6l2ye/fVoXbqUoPEQgEYUD+5go8fulhBkniMh0H1rUQVBcW++7hIu4ql/yWwlpd9zDvlaKOkhcueYEgfPG4fBRsVRd3OUfHrvm1+dVaw+MBY3AtCT7hIu4ql7yeq9KdMjANk1+FCp9PZt8G/ab9CQSC45O3UX0NGJgRGwJLgsOu0jpqHW7/4RhgYAjMCSrhIu6qlfumA/oV90vHqXoZU7irGke96k0uEAjCCK2YG6vZqFmiWg/4ZFivHTWve9d8OIi7ARjhP6jnlfuwHvGqsb3rhEteIAh3GmpdlObXqsavnqDfffcWguqEuOuAnvgF09mdHvJ0GkwXZTESF2FWjedvFi55gUCgvXof11tVplU3rNUOqhsUbDuCTTiI+xD/gR3FdboNprtgVHdVKVV7lYPacv3WkhcIBK1HS9yTo/VbmGlniSrXHaAvOu8QFw7iPtR/YEex2i2lF04ZnK4aK9qt3y0IgUDQNsoK6vC41SlxU3KTW3hE16akzkGDusRuDJAWAnOCRjiIu2rlvr24LhR2BIVBmXGqscLd1cE3RCAQdEp8XpnSPPU18PShGSGwpuORZcjT7iHSN9i2BJOwFPcdOhX3uAgzsTZ1L6AiIe4CgeAoivaovXl6jZgH2CvEXXdY0fgH6nXlfs7wTNV+u6PeTUWhPoMHBQJB+yjeqxb3rMTIEFgSHFro/inEvQvTH79KRMU1Dmoa9ZnvPa1fqmqseE8N6DR4UCAQtA8tcbeYDHSLt4XAmo5HiLv+yPEf2FWqz1U7wCCNSlNa7jeBQBDeOOxuqoqbC54kSbotRbu3TFPc+wXbjmCid3Hv4T9QWK3flLDkGHU6iwimEwgEWhTvVWcNTe2bEgJLOp4WVu69AXWQkk4IO3EvqmkMhR0dzqDMWIwGdYtXrWpUAoFAoOWa75sWo3Fk16em0U2F3ek/bEYpcqZLwk7c9bpyP7m/er+94mA9Po/YcBcIBGqK9lSrxuIj1dUt9UK47bvrXdxVTc31unIfkRWvGqs4qFmZSSAQCKgqbsDtaF7cRZIkBmboc/UuxF1fhM3KPTclWjUmxF0gELSIDNWl6sXO+F76rFQnxF0/GAFV6GexTlfuKbHqFJZKkd8uEAiOQXVJg2psSDd99ncPt0I2ehb3NPwiIWsb3dS7vC0c3nUxGyVsJvW/Uoi7QCA4FtWlanHPTVV7AfVACyVoVenSekHP4q52yet01T66Z4KqMp2zwU1DrStEFgkEgq6A1so9PS4iBJZ0PKV1qmh5AH3uQRBm4l6k0/32YT3iVWNae2kCgUBwNFriHhehz4j5FiqTxqHTXPfwEnedrtz7pan3yLQ+tAKBQHA0WteJlrb5ujpen9ySwCcG25ZgoL//4BE03PL6XLn3TFY3fKjR2EsTCASCo3E5vDTUNHdXS5LE2Bxd6h1V9ZpblUnBtiMYhJW4F1Xrc+WeqlF2VrjlBQJBa9C6Vui1/Wt1gxB3PRA2K/dYm3qPzF6lz9cqEAgCS5WGa35gpj7T4aoaNN3yQty7GGn+AyU6FXeb2agaa6zTZ1tbgUAQWOoq1Cv35Gi1N1APVImVuy5QbUTXOT1ax3V5zEZJNdZYJ9LgBALB8XHY1QsBvUbMV4uVuy5QibtDhwVsUqItqhx3n9eHs1GfNzICgSCwOOrVghdl1WV2mFi56wAJDXFvdOtP3Pulq/fGGu1uEM3gBAJBK3DUqxcCERb1Vp8eENHyXR8Lfq/N7fXh8elP8XqnRKnGxH67QCBoLVpueasO89xBBNTpAVX9RD2u2gHSNBrGiP12gUDQWrTc8maDPqVBuOW7PmGx3w6QGGVRjTVq3IkLBAKBFlriLqljdHWBCKjr+oTFfjtAXKQ6qlWs3AUCQWvxun24nc2vj5IkkaHhFezqiJV710e9cnf7QmFHh6OVsiL23AUCQVvQWr33SNJfd7gGbQ+u/u5iCCNx1+vKXavBg0enWxCCdiBBRIw+c5YFgUMrqK57vLpnRVfHpx1UrcvUgLARd4dOxd1kVP8LZVl/WQGCdiLDub8fSXL36FBbIujEuBzqdLh4jS2/ro5X+9qoS3HXZ6UCrWh5na5mzVrirs8dCMGxkGDw1G5k5sZTUWin4mA9FQft1FU4sEaaOe+eUfz4+lb2risLtaWCTojWNcNo0F9UnTeMVu56FfewccubNErPipV7GCLD5kUHkX0yU+b0xXjops/V6MFoNmA0GZh94xDKD9RxcEcVXo94jwiOEJus3naePTiDpCh91Zg3aN+wmFEEXlciIcS9i2PSyEeVdVisR9A6tiwppKq4gVNvHExEtAVLRPOPeHL3GJK7x4TIOkFXYmTPBEbqtPWrHwYULdSVSITNnrtTp+Ku1TRGLNzDm8Jd1Xz02GoqDtpDbYpA0FXQ3VVTr+Ku2kHyb66iZ8TKXVBX4eCTJ9awd73YYxcIWoHuBEKv4q5qUKzV81wP+DSW6WLlLgBwO718N3cTjXZR1CiQfPfdd3z88ce4XEf+rnv37uW9994LoVWCE0R34q7XPXcNcdfnfYxPI8pVrNwFTchQW+4gIlpdpjgYuFwuSktLqaurC8nzB5pFixaxZs0aBg4cyG233cZdd90FwLXXXssNN9zAtm3bQmxh+8jKyiIqqnkTKp/bjX3BwtAYdBTzV62k3uHgtPETsJiV9Lx9RUWs2b6dC046qU3nkiSJmN/M7AgzOx3hI+4mfa7ctfI2RbS84Ghcjeoc5mBhsVjo3r07jY2NlJSUUFJSQmlpadP3o1e/HcVPP/3EunXrMJvNnHLKKfTv3x9QPicPP/xws8/LxIkTmTlzJvPmzSMuLo6KigrGjBlDWloaAN9//z02mw2Xy8UPP/xAZmYma9euxel0kp+fT35+foe/no7gqquuIicnp9lY2X/+Q+Urr4bIIoVFdjtrGhsYaLNx/wsvcldKCgA37S/ghsQkDn72WdtOaDAwYOsW/1Ef4AiEvZ2J8BF3nbrlPV710t2oUy+FoH04G1ov7rJXxrW/FkOUGWOsFcliCEi8SkREBNnZ2WRnZzcbr6qqUol+ZWUlPi2XVDvYtWsX3bt35+STT+bzzz/n66+/bhL3hoYGZsyYQVKSUlp8+fLljBo1ig0bNrB27Vr+9Kc/sWrVKj7//HNuvPFG4MiNsyRJSJJEXV0dy5cv59prrw2IvaHCoJF143O0T+88sswLFeWYkLglObnZXJnHw12FB9nmcHBuXBx/Tkvn85oa7i8uanbcV9k59LZaWdZQT4zBQLzByJJ6O3elpPBxdTXdzWbGR6nbXR8PyaipA7qsDBJG4q5PwavXKM5j02FlKUH70aob7vN6MWhc6CSjhDk9isr3d+DYXgkGsOTEYeuTgKVHDKbkCIxRZjBKARH9hIQEEhISmgQXwOPxUFZWphJ9u73t0f/R0dFkZGQA0KNHj2Yr66ioKCZNmtT0nGvWrCExMZHly5djs9mQJAmLxUJxcTENDQ1ERkbSq1cv8vPzcTgc9O7dm2+//ZYZM2Zgs3Xt8uRa4i63Q9wL3W4+r6lhgd3OjGh1VcTVDQ0816076xob+HNxMX9OS8ciSTyb2Q0AtyzzfnUVva1Kfv1hp4pBUgLEyjwe3qyq5J2snm22DUCyaubtq/SivUiS9BiwDOgF9AN+Bg7Isrz80PwdgE2W5SckSboF2ABsAT4HzpVluUqSpFeBEcAoWW5/SbIwEnd9rtwbnOpVmTVSr/9WQXvQagGct3EdXreL3DETVCJtsJlIunIgtfPyqFt0ANeeGlx7apofE2nC2i8Ba694LJnRGBOsGGwmpABUNTOZTGRkZDSJ8mHq6+ubhP6w6JeWluJ2t9wo6ehz7NixgylTpmget3PnTnJzcwFITU1l9erV1NXVNW0bHH6Ofv36AeD1eklOTqa6urpprCtjNqsXBD57fZvPk2IycUtyMisatB87OzYWUET8wUNbHbNjYpreg9/V1nLaoWMAJkRFsqqhkTqvj0lR0fy9pJg7U1KI0V6BHxdJ+yYsYOIOjAWmA/uA84EU4BRJkiqBBKAK6ClJ0hpgGPA4sBGYBNwMPAq4UHLuR0iSNBl4XpblNu+t6VUFVP8sq0aDFT1Qp1ET2iLEXXAUDbXqfW1rZCTvP/hXxp59AZMvuUol8JJBIm52Dqb0KKo+2QWe5gsIX4OHxnVlNPqVszWlRWLrl4C1ZyymtEjFtW8OjGs/KiqKnJycZnvDsixTWVmpEv3Kyspme+krVqwgOzubUaNGaZ57y5YtnHrqqQCMHDkSt9vN2rVrcTgcREZGEnuU4PTr14+GhgZef/11pk6dytatW+nXrx/GdgpOZyAiQt0Bzl1S0ubzmFvxf/6spppny8sZFRHBxMioZkL9bV0tD6cfuSE7KToGGcXV38ti4aDbxcnR7S/CZOjglTvgBpajrMinAnuAtcBCYDKwFPiDLMs/SZJ0EbAeOAtF9IslSVoNHHYv/Q1FoxceOl+b0KsKhM3KXUvcrcItLziKxlqnaswaqexXrvziY0r27ebcex/CqLF6ixqRijk5gvK3tuLTuEnwx1PSgL2kATsHjwwawNo7XnHtd4/GlByBIcoMhhN37UuSRFJSEklJSQwYMKBp3O12N63sP/30U3Jzc8nKyqK8vByPx0NMTEyzY51OZ9OYwWBgwoQJALz00ktMnDhRZee8efPo378/O3fupG/fvixdupRp06ad0GsJJZGR6g5wnuLigD+PLMuMiIjk057ZXFSQzzvVVdyUpOzL13i9+IB4v5ukk6NjqPZ6uaIgn5uTkvmhrpaTomNadSPhTxBW7jJwATC7lcdHAacf+vkAint+IJAGPAmYZFlus7CDyHPv8tQ41C5J4ZYXHE19tdbK/UgwUv7G9bzyuxtoqK1RHQdg6RFD2m3DMbe3s5wPnLuqqfl2H2X/20TRoys5+MAvFP1jOZUf76R+TTGuQjveRnfAMj3MZjPdunUjOjqayspKLrvsMqZMmUJdXR0mk4m4uDiGDx9ORkYGBQUF9O7dW3WOHTt2YLVaGTduXLPxXbt24XA4iIqKwmAwEBUVxc6dOwNidygwmUyabvmIYcOIGDkSS3Y2hpjjr5afLitlgb2Ot6oqyXO52ON0sqHxyKX4rapKXq2sJNti4fu6OnqYTJS5PVxVkE+N18sCu50aj5fz8vap6nc8VlrCzOgYFtrteGV4uaKiXa/VoB2EF8g8TS/wBoq7/XgYUVbp3xz6/RFgJopbPx64H3hLkqRz2mOIXlUgbALqKjUKlNiEuAuOwl6lXphY/S5ydRVlzL3xKuY8/AQZuX1VxxtjraTeOIyqT3bSEKCqdz67h4bVJTSsbu7+NWVEYuuXqLj2UyMxxlqQTO1z7f/f//0fL7zwAi+88ELT2DXXXENNTU1TjvqOHTu46aabiI+Pb3Lvf/vtt5SWlnLZZZc1c7c7nU5+/PFHLrvsMjZt2gQo3oNj7ft3drRW7QDdn/lPs99llwtPZSXeiko8lRV4KirxHvV965tvsqaxkW4mE+VeL7tdLq4/sB+bJFHv85FoNFLo8TDQZmO708nKxkYqvT52upy8X13FDqeTHhYzu50utjmdrG1s4JL4BJbV11Pn9ZJks1HicZNgNPJ6vZ2b/SLxW0ML4h7IOs0G1Gl1aUA0UIgSZLf/0LiV5lr1Z1mWf5Ak6f+A0bIsjz4RQ/SqAmGT576/qkE1JtzygqOx17iQZbmZOFpsEUgGA/JRKWc+n4d3H7ib3/z2NobMOEW9D282kDinP+b0KGrm5XVYNW5PUQP2oobmV1wTWHsnYOsTj6V7DKakCAyRJiSNlsdH89RTT/HUU08d85inn3666edBgwYBcPHFFze59o+O2J87dy5jxowhNjaW1NRUSkpK8Hq9pKamtvflhhyt/XYtJIsFc3o65vR0zfmYdesYO2AAVVVVSG+9RX1CArlJSZgliYPFxVw8ZQrPfPEFS7tlsreggF7IfDB+AiPmfU+yycwrlZVMOHSj8Vx5GV4ZBttsPFVWxtzu3fmmthZQIucb2pkqaez4lbsZuJLm6XUlsiz/QePYSCAWuOLQ781WapIkGYCvgAdkWV7fVkP0Ku6eQ19Nr89gkLAYDbg08sK7MgUVanH37wQmCHNaeMtbI6Nw2NXXtfkvPUfR7h385obbNVOkYqb3wJQWSeX7O5CdQWrI5AHnjiqcO6qaDRtiLdj6J2DNicOcHo0p3opkMwZkL/9wAZ7u3bsDsHv3bt566y3effddSktLKSws5D//+Q/V1dVMnz79hJ4vlPhXpmsvkiTx8ccfExUVRUZGBpdffjnLly9n+vTpLF26lNhhw4iYP59Xly/nxhtvZPXq1Wy54nKY9z1jXnuVexYvZsumTWxduZK7r7oaV20N8zdv5vrBg8nNzmHQ5k3s2rkLr9VGX+3AuOMSBLd8HHA3kIziZlchSVKWLMsFQCLwLvAR8CzwH0mSqoG+QAxKGh3ArcBv22qInlWgEeUP1ITNrD9x31euTjmxRun53ypoD7IPJD/nlTUyUlPcATYvmE9Z/j4ufuhxzBpBSBEDkki9ZTjlb27BWxG64l6+WhcNK0toWNnctW/uFo2tfwKWrFjMKZEYYixIphML4MvNzeXrr78mIiKC2NhYcnNzmTp1qmKHz0d5ebkqar+6uvpEXl5QiGnFfnprMBqNXHXVVeTm5vLnP//5mMd6vV569uzJ6acrsWR/efBBIiMj2blzJ3UNDfzn++/YtGkTQ4YM4dUlS5AkiSu9Xnb++c8ciIjg8TPOIDc9vdk2QbPvFRV4K498lw9tmxjj47XMqdIabCuS8ubqDqwGTj3GodMlSXoLyAYWHDV+pyzLC49yy08/EXv0rAJ2/MQ9xmamViO6vCtT5/SoXK5GowFblFmzeIkgPPF5faqiNdaoaKDldKeSvbuZe/PVXPnEs8SmqN3O5rRI0m4dTsW723Hurg6wxSeG+6Adt3/LW4sBW2481twELN2iMSXaMESZ25Sb35IL22AwkJqaSmpqKoMHD24adzqdzdz6h392tLP6W0dwdJrfYZweJ3XuOiJMEViNVozS8b0hPp9PVczncPGhzMxMduzYQY8ePZTzO53N/paPPPIIs2bN4qabbmL16tWsXr0agMbGxqbnNRqNPPbYY83Ob87MbNVr9NbW4qmsxKAdLR+oPduRwIeABchC8Zm5gWxJkoaiaFIy8AeUffjvgTKUfHc4stElEYBGNnoW9xKgWRWM1BgrB6sDmfXQOXB5fVj9Ygpik21C3AVNeL2y6sNubSGQ6micDXZeuu1azrv/b2QPHakueBNpJvmawdR8sxf7ssIAWtwBuHw4tlbi2FrZbNgQbyGiXxLWXrGY06MwxlmRrCfu2gewWq1kZWWRlZXVbLympkYl+hUVFXi9QdrmOAqtlfuK4hXc+tOtzcYSrAnkxOWQFZtFt+hupEemkxKZQqItkVhLLI3ORt548w2MhiPXorS0NJ588knV+RsaGqitreWtt94ClB4ER+Pz+TjzzDP5xz/+wfDhw0/4NRpjYzFq3MQcNvOEn0BhKHAfSuGaW4D/Ad8BF6Gs5g8HQ1UCpcDzKOJ/E0o+/K6jznXCeYh6FvciYPjRA6mx7dun6ezUOTxYo/3FPYLSfH104hKcOB6XF6tfLIY1svWpbZ8++hCTLr6ccederA60M0rEn9UbU3ok1V/sAW/Xalzkq3ZRv6KI+hXN65tbsmKw9k3AmhWLKSUCY7QFTtC1f5i4uDji4uLo2/dIZoLX66W8vFwl+rWHAsk6Ci1xL7Srb9SqnFVUlVaxtnSt5nn27NtDytkpeOu8lH5aykc7PsJR5eDxFY+TEZ1BWmQangoP/XP7U1xWzJxL5nDxRRdzxx13cOeddxIfH6+45evqOPnkkwF4/vnneemllwL7gtUcCMRJZFl+7dCP+4Gjow77QVOAnCyr8z0v9TvPjYGwR8/irrrzSYnp2vWfW6Lc7iQ5uvmNS0ySPl+roH14XOpYk9as3I/mlw/epnj3Ls68+08YTepLR/TYDMwpkVS8vQ2fDrxGroI6XAV1zaOtLAYi+iVi7RWHpXs0xgQbhsi2ufZbwmg0kpaW1tSB7jAOh0Ozo57TqS5O1B60xH1vzd42nUOWZdxVbiKyI7BvsiMjU+uqpcHZwDvb32k6ruqXKuInxrNz207K6sp48YMXAXCc7iBtfBrVL1Vj2m3ilrm3kBKRQlJEEvm1+USbo4kwRWAxWlq1RdBGgtLK70TqxLcHPYt7kf9Aaow+V+4Hqxrpn97c5RSb3Lr0FkF44NbqQdCOKOk9a1bw2t03c/mjT2PTKANqzYkj9bbhVLy5FXdR22uTd3pcPho3ldO4qbzZsCHBRsSARKzZh137FiRLYETIZrPRs2dPevZs3iylurpaJfoVFRVt7qh3uCve0Wws29imczjyHcSNiUP2yrgr3UrXPKOEu9yNY78Dg9WAx+6h/LtyPDUeYobEYIox4divxB64fC62Vm7lYN1BGhsaeXj5w8d8vmRbMjnxOWTFKFsEaZFpJEcmk2hNJNYaS5Q5CpvJhtlgRuK43pbdbXqxXYTwEneduuX3ltUzY0DzsbgUIe6CI7ga1Xu5bXHLH01NSRFzb76KSx95mpSe2ap5U4KNlJuHUfXhDho3t6+SWFfDV+Wgflkh9UfHHRjA0jMOW99DufmHXfsB6qgXHx9PfHx8s8Y1Ho+nybV/tOjX1Wlv0UVFRamCBGVZZlvltjbZ4tjvIO3CNDx1Hip/qiRhegIxQ2OoWVXDnr/uQT60VWOMMmKKNZE0IwnJKFG5oBJLqgVL2pE9d1Pc8WWp3FFOeXE5q4pXHfdYk8FEj+ge5MTl8NT0pzAZVOff1JbX2lUIK3FPidanuG88WK0ai09rm8tVoG+cjVplitv/HvG4XLx5723Mvu33DJg8XR1oZzGSdPlAan/Mp/angg4reNOp8YFrXw2ufX5lfW0mIvrFH+mol2jDEBG4jnrp6emk+xWaaWho0Oyol5KSojqHw+PA10YPcsKUBAAsSRb6P3ukfW/fx5WYAtkng4TqfdLjph7Nfu92dbc2PW9r8Pg87KvdR4WjQkvYG4G8gD9pJyCsxD09Tp/70It3lqvS4WISbZitRtzBKjIi6NQ46wPjlvfnu+eeonj3Tk666rdIGgVvYmf2xJQWRdWHO5Dd+qox0W4cHho3lNO4oblr35QSoeTm94zDfLijniUwHfUiIyPJzs4mOzu72Xhjozp7qLyxXDV2ogTixuVESY7QLFdbhE5vPfUs7vv9B7rF69NVXdPoxuOTMRubf4DiUiMo3x/IssmCrkqjRg+Co5vHnAjrvv+K0ry9XPDAw5j8UpoAIockY0qyUfHmVrzVgQkC0yOeskbsZY2wxM+1nxOndNTrEYMpOQJjlDlgrn2tvH2DpM8+HCkRai8FGotAvaBncS/ErwRtfKSFaKsJu0ZwUVenqt5Famxzz0RCWpQQdwEAjXYtt3xgxB3g4PYtvHTrtVzxz2eJTkxUzVsyo5VAu7e34crr2NQuXeED154aXHuau/YNkSas/Q9F7WdEY0ywYrAFxrW/s7rrdrg7FqmRmvX/hbh3Qbwoq/ecowe7xUewo0R/+d8FlQ0qcU/OimbX6pYrkAnChwaNXuyBFHflOaqZe+vVXPyXR+k+cLBq3hhtIeX6IVR9sZuGVeJ9eSL4Gjw0ri2lcW1ps3FTWiS2/olKbn5ahOLaN7fNtb94/+JAm9spyI7L1hoOShpcKNCzuIPyj2su7gn6FPc1+VWMzm6+YkrPiQuRNYLORr2GOzzQ4g6Az8cHf7uPaVdez6jTzlYXvDEZSDy/r9JZ7pu9LTa1EbQPT0kD9hK/jnoGsPaOx9Y34VBHvUNldzU66smyzLf7vg2avcEkJy5Ha7htaQFdCL2Le57/gF733X/YWsyN03o3G0vpGYPBIOHz6TJeRNAGtMW94zIqFr35MiV7djH71rtVNe0BYiZ1w5waScW725EbO982mU/28ePuZXh9Xk7tO7XpJmXtwS00uB1Mzh4VYgvbgA+cu6px7qpuNmwblkzyJc1zaGVkGjzqTpN6oAVx3x5sO4KFPiMnjqByuXRL0Ke4r8mvxudX1dBsMZLYrQNWZ4IuR32Vhls+qn157q1l+y+LePPe23E2aouFrU8CabcOx5Ta+dI231r3BaX1FeRXF/Luhq8AcHpc3P/D06THaEZddznMSeprYV5tXvANCQJGyUjPmJ5aU0Lcuygqcc9O0q/YVTeog6bShGteALgcSvfAozEYjZitHZseWnGggP/ddCVVRQc1503JEaTeMgxbf3UQXlvw+Dw89OMz/PfXt/jDt4/z9fYFqmO+3bGQaz65r9nYKa9dS49/TqXHP6dy1zePNo0vzluFxWghPiKWBXtXAPDMsjc4rd80cpM0RaLLYclSN1LZUr4lBJZ0PN1jumM2mv2HywDdVlnSu1teFfbZPz0wvYs7I3vL7CRG+e+7x7JlsfaFVRBmyKgaSVojo3A7O7b9qMvh4NU7b+TM399PnzET1AVvbCaSrhxI7bw86ha1r4fHJ5t/oKiujL/N/B3VjjqmzL2EM/qfBIDb6+HFFe+yuWQndmdzL8KZ/U/mrzNuByA95kiq1OEbIYNkwCBJbCvdw+K8VXx++Qvtsq/TIYE1Wy3u8/Pnh8CYjifcXPKg/5W7qkBydnIUUZZAte/tXKzcV6kaS8tpsc2hIMzQir0IRCGb1vLVU4+y9L03VB4EUIqcxM3OIeHifmBq+2VJln1sKdlFjaOOqoZq+iZnN82ZjSZuGncJ/VN6qR7XOymLCVkjmJA1gpyE7k3jU7JH0+BqoM5pZ1LPUdw370kem/V7rQpnXRJzRhQGW/PX4pN9LDqwKEQWdSw5sULc9UYdSp/cZvTP0KfgfbZOvUJPSI/CGqmPC5LgxPB5Trwz3Imy8ouP+eTRv+B1a3eNixqRSuqNQzHEqovhHItzB81iUFofTnntWh5f9D9ePu/RZvMWtUsWgHfWf0nuUzOZ8cpV/Fqwrmn8yhHnkBadTGZMKnZXPROyhjMkvZ/mOboi1l7q7bpKR2Wby852FcTKXZ9s8B8YoFNx31Vqx6VxAU/TcL8Jwg+Pprh3bFCdFvkb1/PyHdfTUFujOW/pEUPabcMxd2+9bU6vi77JOTx35oPsrdrP7799rFWP+93Eq/j+6lcYkTGAm794CK9PKddsNBiZ3W8a/VN68eW2nxma3o/vdy5ptT2dHatGLM62Ct1mhQlx1ynr/QcGZuh3372gUh2ZnK5xly4IPwLR0z1Q2CsrmHvjVRTt1q6GZoy1knrjMCKHa5YMVTF3xfukRicxuvsQ5p7zMPN3/0JZvXqbyp8x3YeQm9STB2fcRkVDNVWNR6rnybLMH+c9yYzeE9hYvJO9lQV8snle615gZ0YCS7b6mvBTwU8hMCY4CHHXJ6qV+0CdrtwBlu9VB3/2GHhikcgCfaDVRCiYe+7++Hwe3n3gbjb8+J32PrzZQOKc/sSdmq0KBPTHK3upalQ8AclRCSRGxPFrwTrWF7W8Gi2xl1PRUA1AZUMNIzMHkRyV0DT/1vov6JucjcPjxGI0kRgZz4+7l7X5dXY2TKmRSn36o5Blme/2fhciizqWJFsScVbVzYwDHVeng/AQ9/X+A/3SY+kETYo6hPdWFqjG0rJjiYjR3nMUhA9ujZ4KHVKlro38+NLz/DD3WXw+7f3emOk9SLpqEJK15UDYG8dewt7K/by25hNeXvUh/3fO3/l8648szVsDwOJ9q/hx9zJ2VeQ1rb5X7N/AFR/dwwcbv2XeriXMPefhpvMV1pbw1rrP+dO0G3F4lBoBBslAg1vdRa2roeWSt7vtNHjDqnjNTpQS5bolHCKt9gPVQPzhgQiLkZzkKPaU1YfKpg5jS2EtDrcXm/nIhVAySPQcnMT2X4tDaJkg1Dg1KsF1BnEH2LxgPmX5+7j4occx29S59xH9E0m9ZTjlb27BW6FO3UuIiOWZM/7cbGxC1oimn6fmjGFqzphm82cNmMFZA2Zo2vOneU/xwPRbiLJE0i85hxJ7OR6vRzPivqth6xOvGtteoV8PdTi65CE8Vu4yGqt3vQbVAWwvUtfOzx6ij6pagvbjalCLu6WTiDtAyd7dzL35ampKtZvKmNMiSbt1ONbc+A6145f8NSRGxjO911gAzh90Cj7ZR0FNIdeOvqBDn7ujkcwGrH0SVOPf7PsmBNYEh8HJ6iZGCHHXDWETMQ/wzaZC1ViPgYkYTDrdixC0Cq22r7YQ7rlr4Wyw8/Lt17Fv/RrNfXhDpJnkawYTPTGzw2yY1HMUj876fdPv0dZI7pt2I/dNu5G06K59k2zNjcfgV+fDJ/v4YvcXIbKo4xmROkJreEWw7Qg2YSvueg6qe29lgerCaLGZyNRwxwnCh47u6R5IPn3sIZZ/+oF2oJ1RIv6s3iSc3weMHXPDGmG2dsh5Q03EoCTVWEFtAR658zXvCQTx1viW3PLLg21LsAkXcV/vP6Dnlbvd6aXcrm4UIlzz4U1jEHq6B5JlH77NF/96BK9HW3iixqSTcv0QDFEiWLRVGMA2QC3u3+d9HwJjgsOwlGFaw1uB4+dJdnHCRdy3As2uEOlxNhKj2lYFqyuxYLt631KIe3hTX6PR9rWTueX92bNmBa/dfTMOuzqOBJTI79TbhmPO6NyvozNg6RmrmQL31ta3QmRRx9OCS/6XYNsRCsJF3J2AKuF1SDf9Fnd5ceEelUszLiWChIzO115TEBwaNHq6d6aAupaoKSli7s1XUZafpzlvSrCRcvMwIgarV6WCI0QMVP99yhvLqXXVahytD4anDtca7vrFClpBuIg7wFr/gQm99Xsx2FfRQG2jeo+11/DUEFgj6AzUVanF3dYFxB3A43Lx5r23sXXJAu1AO4uRpMsHEjsz67gFb8KViEFqz93iA4tDYElwMBlMLUXKi5W7zlA1eJ7UW99u6qW7y1Vj/Sekh8ASQWegoc6lEkazzYbB2HW6JH733FP8/Ppc5BYK3sTO7EnipQOQzOF0aTs+5swoTInN6wfIsswbW94IkUUdz8DEgViNqsDIMmB3CMwJOuH0CVAVTh6UGUt8pH6Dcf778y7VWHxqJBm5+t2OEByDFhp+deagOi3Wf/81H/ztPjwudYAgQOSQZFJuHoYxXp8R7+0hclSaaqzOXce+2n0hsCY4HMMlr3b96JBwEvcDwI6jBwwGiQm99Oua315sp8KudsUO6MAcYUHnRtbo6W4JUfOYE+Hg9q28dOu12CvVvRQALJnRpN42HIvoiAgmiagR6u24xfv165KHFsU9LFzyEF7iDhqr90m5+nbNf7OxSDWWOzIF8zHqdAv0i8+rFveutnI/TENtNXNvvYYDWzdpzhujLaRcP4TIMepVazgRMTAJQ6Q6Sv6Ztc+EyKLgEM6R8iDEnYk6DqoD+PePOzX2WU30HikC68IRr0ZPd1tU8Hu6Bwyfjw/+9idWf/OZdsEbk4HE8/sSd2av8LvaHSJqtDrOptBeSHGDfntNdI/uTnKEauHmQiOwWq+E29t9IX77Lb1SosmMUzeq0AtVDW4KKtTdngZMzAiBNYJQ43Grxb0ruuX9WfTmK3zz7L/webUbfcVM6kbyNYORIsKhV9YRjPFWzVr8H+78MPjGBJEWXPKrUVq9hgXhJu6VwBr/Qb275t9aoW5bnNknnrjUiBBYIwglHpda/GyRXXjlfhQ7li3mzXtvx9mo3brU1ieBtFuHY0rt+jczrSVyVBqSX39rj8+j6yh5gEmZk7SGw8YlD+En7qDlmte5uL+6dB9ur3rFNmCCWL2HG26HWtz1sHI/TMWBAv5305VUFh7UnDclR5B6yzBs/RODbFkIkCBqtDreYG3JWryyfluZGyUjU7pP0ZpSpUPrGSHuwCSd77v7ZFi6S53z3m9ChuquXqBvnA51nfbO1hnuRHE5HLx2143sXLFMu+CNzUTSlQOJmdY9BNYFD2tuPKYEdW57OATSxVlV6b71CHHXPUtRytE2kRpro0+qPlyTLfHYd9tUF7roeCu9R6SEyCJBKOjsPd0DyVdPP8rS997QDrQzSMTNziHh4n5g0udlMGZyN9VYlbOKjeUbQ2BN8JjeY7rW8DzCaL8dwlPcG9GoLaz3ffedJXaKa9Tv7RGzskJgjSBUOOq7TtvXQLDyi4/55NG/4HWrXzdA1IhUUm8ciiFWX02kTKmR2Pqptx4+2/VZCKxpjs/lo3ZNLXXrmzcDql1Xi2P/ietvC+L+1QmfuIsRjuIOmvnu+nbNAzy/YI9qLLVnrOjzHkaEm7gD5G9cz8t3XE9DTY3mvKVHDGm3DcfcXT/eu5gp6lW72+vmufXPhcCa5pR+VopkkajbWEfdZkXgPXYPJR+VYIo7sWyGnNgcesb29B+WgW9O6MRdECHuh5jYOxmrTt1zh3l7RT71TrVbdvhvxOo9XGis1RB3ne25a2GvrGDuTVdRtHun5rwx1krqjcOIHN71t6kM0WYiNRpE/Zj/Ix6f+vN/PGSvTNE7RZR+VcqBVw5Qs7L5TVLlgkqKPyym+INiij9WcucPvHyAzVdvbvrafuf2puqI9s12JJOEMdqIfaMdgKJ3ikg5IwVT7ImJewur9mUoNeXDCn2rWcusBqqPHoiymjipv/4Lu7y/qkA1ljM0mcRM/V/gBUrzGH+6Sme4E8Xn8/DuA3ez4cfvtPfhzQYS5/Qn7tTsLt1ZLnpyN1XjHJ/s4x8r/tGu81Uvq8Zd6Sb1zFQy5mRQ+EZh05yz1EnJpyWkX5RO+sXp2DfYcex3ENEzgqzbs8i6PYvUc1JJmJKgDt6VlK+6DXX4GnzET4xvl31H04K4f3nCJ+6ChKu4ewDV5tOZQ/Vfc/2f3+/Ao5EWN+pUlStLoEPqu2hP90Dy40vP88PcZ/G10FkuZnoPkq4ahNQFSzRLNiPR49UprmuK11Dj0t6WaAn7NjtbrtuCu8pNQ34DlYsqqVpahTHGSOkXpex9bC+eGg/eBi+N+Y3Isowsy5gSTMRNjsPn8uEodOCucTcT7qiBUficPnyNPiJzIyn+sJjMq0782ptgTWBYyjCtqbDbb4fwFXeA9/0HZgxIJcrS9T7QbcHl8fHT9lLVeO7oNFHUJgywa4h7OLjl/dm8YD7v3n83bod2AFdE/0RSbxmOMalrVa+MHp+JwdbctS3LMn/99a9tPpdklJC9MtFDozHHmSn9rJTi94pJnp2MOdFMw44GLMkWUs9OZe+je9nz1z1E9Ixg/3P72fG7HRS9XUTVgirq1tdhzTjSoS/t/DRkt0zUwCjqt9WTNDMJc+KJd+ec0n0KRoPq+r0b2H7CJ++ChLO4/ww0S/62mY3MHKj/JhN/+mQjPr/uYAaDxMhTxOpd79ir1GJm1VERm7ZQsm83c2++mprSEs15c1okabcO1yzf2hmRLEaiJ6tXwNsrt1NQp96OawlHoYO9j+yl6G2l6dSBuQdwHnCSepaybVmzqgbZI2OwGTDFmfC5fHS/vjumeBP27XYcBx0kTk9kwPMDSL80nZhhMex7Yh8+l+IpMVgMxI2JwxhhxHHQgTHGSN3GuhbtaS3HcMmHRYtXf8JZ3D3Ax/6DZw7Tv2u+ssHNzxqr937j04npYisVQdvwOH2q/WaDwYjZFp5eG2eDnZdvv45969doF7yJNJN8zWCiu0Cb5Jip3TBGN0/pk2WZh5c/3Kbz2DJt9PpzLzIuV9z7MYNjSJqdhCnBREROBPWb66lZUYM5wUzF/Aoq5lew//n92DfY8VR48NZ5qfihgs1Xb2b/c/upWliF7JapWXFkW8Dn8lH0dhERORF47V7q1tdRv6O+3a/dYrC0VHI2LPfbIbzFHTRc81P7pBAXceIuos7OvR9vUK3ejUYD48/uFSKLBMFCQ8M65erd7fWy6UAxWwubr6y3FJZQWF0b0Of69LGHWP7JB9qBdkaJ+LN6k3B+HzB2zkg7Q7SZ6Cnqinv76/azqVy7JW5L1O+qp/LnyqZI9sb8Rip/rKRifgUZV2ZgiDTQuK+R2LGxWDOt2HoqC4KMyzKw9rBijDKSfFoy/V/sjyHCgCneRM87e5IwJaHpOUo/LyV+YjzuMjeSUYmc9897bwtjM8YSaVa9h6sIs3ryRxPu4r4UKDx6wGIycMogdYtEvdHS6r3v2HTSsmNDYJEgWMg+jZ7unbDt67zNO7GYjGwvKmNHsZLJVO908e3G7cTarMd5dNtZ9tHbfPGvR/B6tNPFosakk3L9EAxRne/mP3ZGFga/AMD27rVH9YnClGAidoxyHUg6NYnIfopwFr1ZRMLUBAwRBmpW1hDZJ5KIborXp/SrUmSnjM/ho2ZFDXn/zEN2yxijjBijjtjWmNdI/c56kk5Jwne4S6EEPqd2gGNrmJ0zW2v4WxQPbVgS7uLuBVS9D88cFh4NVe75eANejQv9pAtzQ2CNIFho9XRv68rd6/Px/aYd/LBlFwA+Web9lRt44NPvef7nZTjd6mvqmvwDfLRqI2//uo6SWmWVZnc4eWPZGtYVFPL+yg00uo7k4e8sKcdoMBBpNbO9SBH3L9ZtYcaAXKI7QNwB9qxZwWt334zDrr2KtObEkXrbcMwZnScI0ZRkI2qsekGyo2oHq4pXteuchW8UUvFDBQD29XbwgDnJjGSRyJiTQfzEeHxOHwaLgZSzldoAiVMT6XZ9Nww2A1H9o8i4NANrZvP/k+yRKXyjkG5XdUMySNi62ZSbTS/YurdvSzDSFMnMrJlaU6EvxxdCwl3cQcM1P7F3MsnR+ipHqUVVg5tP1x1QjWf0jqf3yK5fzEOgjVejp3tbqtRV1Tfy07Y9bCksaXJj7y2rZHq/Xvxx9nQOVtdS1dDY7DEV9gY+Xr2Zc0YOYkJuFq8uXY3PJ/P1xu24PF5GZGXi9HiabhaApnNLSEgSbCsqpdHtYWRPdfW1QFJTUsTcm6+iLH+f5rwpwUbKzcOIGNw5qlrGnpKNZGx+KZdlmXsW3tPucx6OZgeI6h9F+qXpSFLzLQmDydAsd92caMbWzQZGMMWYsHWz4XP4cB48kqFRvaya6KHR2HooQp40Kwl3pRufx0fcRFWzl1Yxs+dMLZd8NfB1u06oE4S4w0og7+gBo0Fi9uDwWL3f/+kmnB51+8cJ5+Zi1HnFvnDFc4LiHhthZdagPkRYjrinc1OTSI+Lwe31MTk3m/S4mGaPWbG3gPhIG2ajkfTYGCrsDewoKWN/ZTWRh85jNZnYVXokgaVPWjIujweH20PPpAS+3rCN80cNbuvLbRcel4s3772drUt+1g60sxhJunwgsTOzQlrwxtw9msih6hvxXwt/Ja8ur13nPBzV3rhHuUEzJZiwplmRzBKeGg+ViypxHDiSdVG1qAqAykWV5D+bj6/eR82qGvKfzcdVqhRNsm9V9u/jJ8WTeuaRYmHmBDNp56aRMScDo619achn9j5Ta/h9/BqEhRvi6q2kSahW7+EQNQ/g9sq8tHivajwuJYKhJ+m7JWa44naqb+bakutuNGhfNgoqq3lp8QryK6spqmnu1i6ts2M1KfnXh78X19SRERdLYXUtsizj9HhwH3WjOXtwPzw+H33SkthdWs7kPtnERwY3qv+7557m59fnIrdQ8CZ2Zk8SLxuAZAnNpTRudo5qzOvz8sfFf2z3OR0HHCRMTSB+QjwYoX57PY15jVjSLCROT8SSbCFmSAzxk+Oxb7OTPDuZwa8PJvdvufT6Uy+MUUbiJ8bT60+9GPz6YLL/kI23Xvm/SkYJyRS4u6H0qHTGpo/VmnozYE/SRTmxQr764X3gvqMHxuYkkhFno0ijk5reeGr+Tq6amE2MrXmg0KjTstn2axEOu3ZHLUHXxK3R0z0QzWMizCbuOXUab/26li/Xb+XGaeOa5o5e/B7t3T135CAWbN/D2vyD1DY6yIw/EsxpNhkZ2j2DPWUVlNTa6ZuWzLaiUgZkBLdM9Prvv6Z03x4u/PM/MFnU23WRg5MxJdmoeGMrXo0iQR1FxNBkbL3jVeNf7fmKald1u8/rLHKSclYKxggjve7rRdk3ZVQtrsJb70V2y01Z45JFoveDvcl7Kq/Z470OL9XLq6nfWd90Pl+jD3OCmcjcwGZlnNHrDAyS6sZqF7A8oE/UBRHirrARpYpR/6MHzxiayUtL1KtavSHL8Ncvt/DURcObjVsjTIw9I4fF72s32xB0TZyNHSPuKTFKxH3ftBRW7tvfbC41NropiO7wNlB6XAxRVgtnDBtAo8vNh6s3cctJA5s9zu318sW6rfRJTaLe6eZgdTkWk5HeKcHd7y7csY2Xbr2WK/75DNGJ6ue2ZESTettwKt7ehisvsGl6Wkg2I/Fn9laNO71O/r787yd07rgxcRgOeSIi+0TS886Wi1vJPpmce3OQQpQieE7uOVrDbxKmhWuORrjlFTRd83PG9giBKaHhk7UH2VNqV40PmpIpmsroDGe9hrifYAnavPJK3F5FtEvr7AztrkRvL9yxlzqHk3E5PahucNDoclNaW0dCVAT90o7sFc/fuovp/XrRMymh2Xnnbd7JyKxMKusbMRokoqwWthWqUziDQUNtNXNvvYb9W7Xzxo3RFlKuH0LUmI5PpY07NQdjjNqL8PLGl3H7TszTZmjDFoNkkEIm7GPSx2i1dwV4O9i2dEaEuB/hPf+B3inRTOzdOSJig8GNb6urdBmMBmZcNQCDf0cnQZclED3dl+8poLimju3Fpewtq2TlvgO8tnQ1a/IOEGuzMb1fb9weL0t35VFaayc5JopLxg3n83VbWLorn+smj8FgkHC43SzZuY+M+FhmD+nX7DkOVNawr7ySqX17Nd04SEi4NAJAg4bPx4d/+xOrv/5Mu+CNyUDC+X2IP6t3h11dLVkxms1hKhor+L+N/9cxT9oJuaDPBVrDP+EXIB2uCLf8EXaivDFmHD14xYSeLNtTERqLgszuUjvfby5m9pDmF47UnrGMmJXFmu/zQ2SZIJA0arR9bau4j++dxfjeWU2/90pJVB1jMBj58xknN/0+rEcGw3o0f29ZTSam9NUKCvPx8ZpNXDxmKAaDRHpcDD5Zxif7VJH4oWDRW69QvGcXp932ewxGdZR39MRMTCkRVLy7HVljG6TdGCUSzuujGpZlmTsX3hm45+nkxFnjmNlTM7f9f4F6DkmSpgM/AIOBvcDRdxN9gZOBS2VZLtR4bDRwFpAN/FOW5aDfkYqVe3Ne8B/4zYA00mPDp976nR+up9Glfh+OOSNHuOd1QiDEPVD4504fZk3eQQZkpJJxKMBuSt8cqhsceLw+RnVwnntr2bFsMW/eezvOxgbNeVufBNJuHY4pNXBBZDFTumFOV/+vfi74mfWl6wP2PJ2dM3udicWo2pYoB74I4NN4APOhr9OB1SgeXhnYD0wDkCTJJElSf0mSLpAk6VFJkhYApcBzwI3AswG0qdUIcW/Ol/iVozUZDVwSRnvvTrePP36yUeVyNJoU97wk3PNdnvoaDXHvZG1fR2V3Y+bAI5US4yJsnDK4L2cOH4jV3HkcjhUHCvjfTVdSWaguBgVgSo4g9ZZh2PqrPRttxZhoI3ZGlmq8wd3APYvbX7CmK3J+3/O1ht8gALntkiQNkCTpF+C/h4Y+BF4EDgdTLAEsQB1QDMSj3Aj8CjwJDATmyrKcCPQDPpQk6UdJkoK6ShTi3hwPMNd/8JKxWZjCSNS+3FDI+v3VqvHUnrGMnKW+uAi6FvU1Gj3dIzpX4xijwdBiPn1nw+Vw8NpdN7FzxTLtgjc2E0lXDiRm2gnUjZAg8YI+SGZ1/fgHf3nwhIPouhKj0kaRG69ZIvvlQJxfluVtsixPAm4/NDQDmAokAIuB3sC5wEFgMkra3S7gAFABpAJ3SpIkA43AQsAGzAmEfa2la3x6gsvL+DUbSI21cepg/TeTOZqrX1uF26su3CHc810fe6WGuHeylXtX5KunH2Xpe29oB9oZJOJm55B4cT9oR+XHmGndsfaKV41vLNvIvPx57TG3y3LNoGu0hpegpDOfMJIkTZIk6SbgcDeaG1BK2f7u0M8VwBjgMVmWF6MIPMAdQAyKS/6JQz8vBYqAM2VZfj0Q9rUWIe5qCtFoOHD9ZHXQj56paXTzxPfqz4rRZODkK4V7vivTUOtSCZDZasNg7Dzu7q7Kyi8+5uN//AWvW3slHTkildQbh2KIbX3vCkuPGGJ/k60a9/g83PLTLe01tUuSG5/LtB7TtKZU8VLtRZblX1B04KNDQ4uBk4A1wK3AROBn4EJJko6+K74V5SYgAWWV/jUwBKiUZbkqUPa1FiHu2jznPzA8K4GRWQlax+qWl5bsY1uRuiBHWrZwz+uRztjTvStSsGk9L99xPQ01NZrzlh4xpN02HHP347fZlSxGEuf0U+WSy7LMv1b9i1pXxxfM6UxcM1hz1b4P+DjAT/V/wF2Hfr4ceAlIAYbKsvwysAcYDhxdwvQT4M8oe/ELD/2s3X0oCAhx12YJsNZ/8LowW70DzPnfclwaLULHnJlDRu/2dXEShJ6u0tO9q2KvrGDuTVdRtHuH5rwx1krqjcOIHH7s7ovxZ/fGlKSup7+tchvvbn83ILZ2FdKj0lvq2/4Uge/bbgN+PPTzAuBOwP9C6DyU4nb4zms/sPmQLaWHfo4BBgXYtlYhxF0bGXjaf/DUwel0Twhu44pQU9Po5r5PNaLnjQZOuWEwkW1wLwo6D16vhriLlXtA8fk8vPvA79kw/zvtfXizgcQ5/Yk7NVuzs1zEsBSiRqWpxh0eB9f/cH0HWNy5uXLglZgNZv/hcuC1QD7Poah2GRh/aOigLMu7UVbpGZIkXQ8MPeohh/8ZNwCfo7jlLzr0c+9D52xWPyUYCHFvmY/wS4szGiSunpgdGmtCyKdrD2oW8omKs3LKbweL6nVdEK+GN0YE1XUMP778PPPmPouvhc5yMdN7kHTVICTrkUh4Y4KVhHPVEeGyLPOHRX+gzlWnmtMzsZZYzu+jmf72X0C70ED7GQq8AryDsgqfLknSKJSI+LkoFfC+B16TJOkk4F+yLEuyLI+UZXk6UAm8JcvydFmWJWAWSrpcUBHi3jIujuQ5NnHxmB7EWMMv8Ojq11ZS06DOj87sE8+Ec9UNLASdG69WT/cIIe4dxZYF83nn/rtxO7S7TEb0TyT1luEYk2xgkki6dAAGm/o6I0kSc/rNId4a38EWdy7m9J9DpFnlWWoAnu+Ap+sPPCLL8jKUQjUjUYrjPIaSxz4feAa4HygD5kmStPDwFxALXHrU728Db0uSNF71TB2IpOUuEjSRiLKP0uxd9e/5O3nmp12hsSiE9E+P4ds7pmiu1L//3yb2rC0LgVWC9nDZ38cT71c5bd7/PcPmBfNDZFF4YI2M5op/PkNcqtrdDuBrcOPaX4et37GL3pTUl3DP4ntYV7quI8zsVFiNVuadP4+kCFWfj2dQ9sIDiiRJEbIsN7byWANgkGU50Hv+J4xYuR+bSuB1/8Hrp+QQH6na+9E924vreOy7bZpzM64cQEK62LPtKrid6hLDoSpBG044G+y8fPt17FuvbtIEYIg0H1fYAdKi0nj1lFe5bvB1SFob9jrinNxztITdC/y7I56vtcJ+6FhfZxR2EOLeGv4FNEtajbGZuWlqeLqiX1qyj1/3lKvGzTYTp944BLNV3URD0PlwdVBPd0Hr+PSxh1j+yQeaAq+ihWNMBhN3jrqTF2a8oFs3vVEyctWgq7Sm3gNEJ6tjIMT9+OSh0WnoqonZpMRYg29NJ+DKV1dSWa+ucpaYEcXJVw4IgUWCtuJsCHxPd0HbWPbR23zxr0fweo6z8Nv0CSx4DGTtgLzJ3Sfz8ZkfMyJ1RAdYGVpm9pxJjxjN3h5PBNuWroYQ99bxKM2LFRBhMXLrSZr1jXWP2ytz1nO/aJanzR2Vyvize4XAKkFbcDaceE93wYmzZ80K3vvLPS2v4B018Ol1sOhxeGkmOLWj5PXoppeQuG7wdVpT3wGbgmxOl0OIe+soRKNq3aVjs+gWH15574c5UNXIre+s1bwojZqdzaCpnaMtp0CbRrsQ986AwWhi2hXXare+9Xrg30OO/F64Bv6VCwdWa55Lb2762TmzGZCk6Qn8Z7Bt6YoIcW89/0QpK9iExWTg9hnhuXoH+GFrCS8t2as5N3VOX3KGJQfZIkFraaztPD3dw5nf3HAbPQYOUU/IMrw6C5x+JWw9Dnh5Bix4VNdueovBwh0j79CaWoFS611wHIS4t55yNKIzLxjZneyk8I0Sf/Tb7fyyWx1gZzBI/Oa6QaTlxIbAKsHxaNASd7HnHlTGnXsRg6fPVE/IPvjuXji4puUHL/qnrt30lw64lG7Rmt6/+1GqxwmOgxD3tvE00Ky7j8lo4K7f9A2ROZ2Dy15ewd4yu2rcbDFyxm3DSOomRKOzUV+jtXIP35vUYDPq9HOYPOdK9YQsw7wHYKUqhldNG9z0Cdau0/QqzhrHb4f+VmvqW5RubIJWIMS9bdSgEaV55tBM+qXFhMCczsNpzyyhsl4tGLYoM2feMZzY5PCMTeis2KvUldKskaJxTDAYfca5TL+yhdrw69+F5W3oXtrkpv/HMd30H535UZdx09849EZiLSqPnw+4NwTmdFmEuLed/wIlRw8YDBJ3zwrv1bvD4+PU/yzG4VYXR4mKs3LW74YTGSeazHQW6ivVqYyWyAjQCuwSBIwxZ53PtCs0I8ChYDl80c7+7Iue0IWbvntMd+b0m6M19QqwJcjmdGmEuLedepTUuGacMiidod3DuwVqaZ2Tc55filujKUlcSgRn3zlCCHwnwePxqTIdDAYjFpstRBbpn7HnXMjUyzT7kUPpdnjt1BN7gsNu+v2rNKe7gpv+dyN+h9moqv5ZDzwUAnO6NELc28dclJrzzfjjqf1DYErnYnuxnYvm/opHIwc+MSOK8/4wipgkISCdAa3UahEx3zGMO+9iplyiWWkNynfBixNarETXJjwOeGVml3TTD00eyqk5mjc4TwJFQTanyyPEvX04gYf9ByflJnPm0IwQmNO5WLe/mqteW4nXp75YxaVEcN4fRhKfJoK3Qo2s2dNdiHugmXDBJUy++Artycp98Py4FoW43XRBN/3vR/9ea7gYRdwFbUSIe/t5HdjtP/iXMwaGZUtYf37ZXcFNb6/Bp7EaiU6wce7vR5LUTQRwhRKvhnfFGiX+J4Fk4oWXMvHCy7QnqwvguTEgq+NUAkIXctOfnHUyI9NGak09BKhTcQTHRYh7+3EDd/sPpsba+P0p/UJgTudj/tYSbn57DT6NFXxkrIVz7h5BWrbIgw8Vmj3dRTpcwJh40eVMuOBS7cnaQkXYfepKgQGlDW76kama4trhmCQTd428S2tqG/BqkM3RDULcT4yvgM/9B68c35Mh3cI7uO4w87aUcP2bqzVd9LYoM2fdOZzMvvHBN0yAx6Ul7sItHwgmz7mSCedrRn1D9X7470hFeINFK9z0r5zySkjc9JcMuITsuGytqXuATtlOtSsgxP3E+R1KNGcTBoPEo+cOwdA5trJCzs/bS7nude09eIvNxJm3DaPnYFW/ZkEHI3q6Bx5JMjDtiusYd+5F2gdU7oX/jgB3q1uGB45O6KbvFt2N24bfpjW1AKVojaCdCHE/cQrQSNMY0j2OKyZkB9+aTsrCneVc9epKzSh6k8XI7JuHMHByZggsC19cDtH2NZBYI6M4596/MPqMc7UPKN0Gz40Gbwe74o9FJ3PTPzThISLNmltB9yDKzJ4QQtwDw7PARv/BP8zqS2qY9nzXYunucs55/hecGoVujEYDJ13enylz+mIQLo+g4GzUEHexcm8Xid26c+k/nqbXyDHaBxRtUNLdfB0UPNdWDrvpHbWa08Fw05/d+2wmZE7QmnoBOEZhfUFrEOIeGNzATf6DMTYzD54xMATmdF42F9Yy4+lF2B3aq5eh07tz5h3DsUWpClkIAoyzXoh7IOg9ehyXPvI0iZkttDnevxLmTg1MHnsgKVwDT/ZR7NOgI930SbYk7hlzj9bUfuBPAX2yMEWIe+D4FVB1ezhjWCZT+4jWp0dzoKqRKf9cQLldXQIVoHv/BC64bzSJmUJoOhJHvVZPdxEt32okiQkXXMI59/yl5b/bzh/gld8E16624HEo9h3PTX9WYN3094+7nzirZtDxTYC2O0HQJoS4B5Y/AWX+g38/ezBWk/hTH01Vo5tJj//M9iLtz3FcSgQX3DuKnOHixqijcNi12r6KPPfWYImI4Ozf399yDrssK21Z370wuIa1l0VPwEsnt+ymjwycm/7kHiczK3uW1tS7iCC6gCEUJ7BUAn/wH8xOjuKWk3JDYE7nxunxceozS/h2U5GqzjmA2WbitJuGMvq0bDpJES1d0VCn1fZVeEuOR0JGJpc+8hS5YzT3i5WAufcvhQWqFhSdm8J1rXPTz2y/mz7GHMMD4x/QmioH7mzXSQWaCHEPPG8Bi/wHb57Wm9xUsSrS4pZ31vKfH3dqCjzAuLN6ceoNg7FGisp/gaS+WvR0bys5w0dz6T+eJql7lvYBjVVKcZodXXQBethN//Mx3PTd2u+mv3v03aRGpmpN/Q4Nr6eg/QhxDzwycDNKkF0TFpOBZ+cMF+75Fnjmp93c+NYa3BqpcgC9R6Qy5y9j6d6/c3az6orUV6tjHoRbvmXGnn0B5/7xQWwt/Y1KtsJT/aFqX3AN6wgWB95NPzZ9LBf0vUBr6hvgvXbbKtBEKE3HsA14wn9wYGac6Bx3DH7YWsK0JxZQVqdduSs6wcbZd45g8oV9MJrFW/dEsVep/84WsXJXEZ2YxDn3PsiUS69GMmi872QZNn6kpLoFs+pcRxNAN73NaOOvE/+qNVWHshjqZKkEXR9xhew4/gHs8B+8dnIOJ/XTdEsJgMIaB+Me+4mlu8pbPGbYjB5c9KfRJHcXq8wTobHOrdoKMVusGE1i+wMASWLIjFO4+qkX6D1qrPYxPg98fgt8en1wbQsWTW76R07ITX/riFvpEdNDa+qPaLTPFpw4Ukv7nIKAMAJYDliOHqywOzn1mSWU1WmnggkUbjspl7tn9cUgabv9vB4fK77cy/r5BZ0uhbircMuLJyH5/X1f+O1lNNbWhMiizkF8Wga/ufF2sgYNbfmghgp4eaZSUjYcyBwBV34JNu1mT16fl/+u+y+vbn4V+aiF+ISMCfxvlipLGGAJMB0IcL9bAYiVe0ezDrjPfzAp2srTFw2jBc0SHOK5Bbs549klVDeoA78AjCYDE8/L5ey7RhCTaAuydfpAq2OfLYxL0EoGA6PPPI8rn3zu2MKe94visg4XYQfFTf+v3i266Y0Go8pNn2RL4tEpmlkDTuC3CGHvMIS4dzzPAN/7D07pk8Jvp/QKgTldi61FdYx6ZD6LdpS2GE3frW8CF/9lLIOndRM3TG3E59Vo5hOm6XApPXO49JGnmHb5tZgtLZSN9nnhp4fh9dM6TynZYOJ1tdpNPzptNP+Y/A+SIzRrVTyIxralIHAIt3xwSAM2HPrehNvr4/wXl7HxQHi7QFvLxaO788i5QzAbW74nLc2vZdG7OyjN125tKWjOdU9NUZX6/fiRP5O/aX1oDAoBRpOJcefNYezZFxw73qAqD948Rx/R8IHgOG76Y/AjcApi1d6hiJV7cCgBrvQfNBsNPDtnBFEWYwhM6np8sPoAY//xI1sLW74ZSu0ZywV/HM3US/qKvPhW4HWrr6/htHLP7NufK574LxPOn9OysPu8sPCf8MwwIexHc9hNX7CiLY8qQ7kWCmHvYIS4B48fgKf8B7OTo/j72YNDYE7XpKrBzWnPLuUf32zD49O+PkgGiSHTunPZ38czaEomkugy1yJul9q1HA577tbIKE66+gbm/O0JkrppRnErlO+CZ4bCwi5WbS5YeF3w6ixlq6IFN70fVwJFHWyVAOGWDzYWlAYzqpyRO95bx5cbCoNvURcmI87GG9eOpW9azDGPKz9gZ+mHOzm4szo4hnUhLrp/DClZzf9+i956hdVffxYiizoWk9nC8FNOZ+y5FxERfYz3jdcDCx6Gpf8Jmm1dnuO76TcAw4NnUHgjVu7BxQVcAtT7T/zj3MH0SIwIvkVdmKIaB7P+vZg/fbIRh0aP+MMkd4/mnLtHMvumISI33g+XQ932VY9ueclgYMjJs7j2mf8x7Yrrji3sxZvgP4OEsLeVwnWw9N8tzTYAU4JoTdgjNiWDz07gduDVowdjbGZeuHQUF85dhkNjH1TQMu+t2s+n6w7ywmUjObl/qipv+zC9hqfQa3gKe9eXseqbfZTvtwfZ0s6Hs0Et7npzy/cZO5HJc64g8VjudwBXPXx9J2z8MCh26Y6ek+BkzaYwAGeiVKMTBAkh7qHhdWAWMOfowSHd43ji/KHc8f76UNjUpXF6fFz3xmqGdY/j2UtG0DOpZYE6LPL7NpSx6ps8ygrC95qj1dNdFyt3SaLPmAmMP+9iUnN6H/tYWYYtn8Gnv1UqzgnaTkwGXPAqGDQl5Wng5yBbFPYIcQ8NMnATMB7IPnrirOHd2F5cxwsL94TCri7PhgM1TPvXQs4b2Y2/njWIWJu5xWNzhqWQMyyFfRvLWfX1vrAU+UaNtq+2LizukmSg34TJjDvvYpJ79Dz2wbIMZdvh42ugdFtwDNQj5ki45H2ISdeafRK4J8gWCRDiHkpqgIuBxUCzihn3ntqfXaV25m8tCYlheuDTtQf5bN1B/nhqf66bnHPM3PicocnkDE0mb1M5q7/No2SfdicsPdJo11q5d73mMZLBwIDJ0xl37kUkZnY//gPsJfDlHbBTVV9K0BYkCc77H2QO15pdAtwfXIMEhxHR8qHncpQe8M2wOz2c/8IydpSE32oy0NhMBh45dzDnjOiGSaurlx+l+bVsWVLIrlUluJ36rkLWZ0wqs65rnopZmr+Pt+69PUQWtY24tHQGT/8Ng6bPJCYx6fgPcNTA/AdhzesdbltYMOMhmHK31kwJSlaQSAEKEULcOwf/BO71H9xf2cBZzy2lqkG9uhK0nWiriScvHMqsQektNqM5Gmejhx0ritmy+CCVhaoEB12Q2Teec+9unplZU1rCy7dfFyKLjo/JbKHPuIkMPnnWseu/H43TDkuehqWqUhOC9jL8UjjnRa0ZBzAN0C5CLwgKQtw7B0bgC+B0/4nVeZVc9vIKnB4RQR8oEiLN/OPcIcwalNaqlTxA4e5qtiw+yJ61ZXh19L+ITbFxxcMTm4056u08f+2cFh4ROlJzejPk5Fn0nzQNW1QrUxqdtYdEvcUULUF76DkRrvwCjBat2YsBkXIQYoS4dx5iUdrDDvCf+HpDIbe/v060NQ0wkRYDD505iHNHdMdiap3IN9pdbP+1mF2rSnQRgGcyGbjxuenNxmSfj6cvPZvO8IazRUUzYMp0Bp80i9TsNjRaaqhQRP3X5zrOuHAlIQd++xNEam6D/AV4JMgWCTQQ4t65yEVxZSX4T7ywYDdPzBNNlDoCk0Hi3lP6MWdc1jGj6/2pLW9k77oy9qwvo3hvDXTRj5JWT/f/Xn0RrsaG0BgkSWQNHsqQk2aRO2YCJovm6lCNLEN1Afz0N9j8ScfaGK7Y4uC6+ZDST2v2HeAKuuwnQV8Ice98TAPmAyqVue+Tjby/an/wLQojzhqWwV2/6Ud2UmSLxXC0qK92snd9GXvXlXFwVzWyRp/0zsrNL5yEwa/+/v9uvYa68rKg2RCVkEjPIcPpOXQEPYcMJypedX/bMl437F0I8+6H8p0dZmPYYzDBZR9B75O1Zn8FTkbZbxd0AoS4d040I+g9Xh/XvL6KJbvKQ2BSeNEnNYo/zh7A1D4prXbZH6bR7mLfhnLyNpZzcGc1rsbOXRjlxv9Ow2Ru3pnwjXtuo7wgr8Oe02Sx0m3AILKHjqDn0BGkZGW37QSyDPZiWP06LHlSFJ/paCQJzv0fDL1IazYPGAeUBtUmwTER4t55eRD4m/+g3enhyldWsLagOvgWhSmXjM3it1NyyEmOatNqHsDnkynfX8eBHVUc3FFF0e6aTpde99t/T8US0bzkxft//SMHt20J3JNIEqk9c5SV+dARdOs/CJO59VsgTbgdsHs+/PT3oK3Saxwyt3zbyP+dHkGMVfn/Lz/gweuDSVkm0p+s44y+Jm77//buPD7K6t7j+OeZmcxMVgIhCUsImywiYRdQEJBNQbRed8G9Ckrda5fb17WutfX2WmvrtS641FqX1r0Wba/7xiKibIrsQtgh+zqZzHP/OFEgmQkJJJOZJ9/36zWvIfM8MxxCMt855znnd0Z7eXtTkOtGe/F5HLYT4az7YdQV4Y6UAicCq6PbIDkcFbGJXXcBfYBLD34wxefhqStGc9GCJazMj7yvubSc55Zu5bmlW8lO9XHjtH6cclwXOiZ5mxT0LpdFVs80snqmMWJ6T0Ihm/35ZezaVMzOjcXs2lhMaUHbjmSGm/3vSzy6KnUJPj+dcnqQmduL3MFD6Zk3jKQO6Uf2YnYI9nwFHz8Aq1pnEvZdH1Tzzubwvf99FTZr9oYIhip54Zwk9lWEyEp2MfDBMu4/xQ9Aut/izfVB/rg0wJBsN9P7OuitddpdkYI9hJkZr2CPQeq5xzYv8BZwcv0DxZU1zH5sMWt2tJ9qarGkb2YyN0zpx6QBWaQlHkEP9CCVZQEKd1ZQsLOcwp3lFOwop2BnORUlDUvDtoaLf3UCaRmH7ki48MH7+Pqj9w77XG9iIhk5uWR0zyUjpwedcnLpnJNLWmbW0TXKtqF0B6x6CT78rVnS1oqqg/Yhve3LXq1k4fogO36cgqfefIQ7P6gmL8vFbz8NMLOfh98tqmZaXw97y22uHOHlvc1BSgI2j8xKJN0f5z34CbfA5FsjHZ0HPBrF1kgzOOjjpSMFgLMwJWrzDj7QITGBZ344hgsfW8zaXfG/JCvebNxb/v0GP306JzF3Ql8mD8wiM9XX7KH7xBQvif28dOuXfsjjVeU1FO4qp2BnBYU7yynZX0llaQ2VJQEqSgItNrwf7nV8B9WXd7nd+FNSSc/uQkZOLp2659K5Ry4Z3XuQ2jmzRdoAQG0Adq+BVS/CsiehJnqFg8INo3vdNAj21XtquX9xNdeP9nLnyT5y0izOGWTeRpfvDJHihXUFIdL9Fu9sCnL2oKP74NemxlzdWLDfgoI9pqnnHh+ygPeAQfUP7Cur5oJHF7Nhj7YvjQXpSR6uHN+HaYOy6d05pdmT8ZojGKilojRgwr4u9CtLTeiHQjZ2yCYUsgnVHvizHTLzAOxaG5fbIsHvZsQpuaR2OrTnXrp/H8FAgMTUNPwpTSwY01y2DeV7YesiWLoAtnzYOn9PE53xXAU1IZs35yRz2auVvL0pSP7NqbywuoZUH8zsl8A3+2p5dlUNk3t7mPTnCh4/w09WsvkA8MzKGv6xLsg316aQk9Z6/+9RMfwi+MH/Rjp6J3BbFFsjR0DhHj+6AB8A/esf2FtaxfmPLGbTPmeWSI1nw3ukc8HoHpzQN4OuHRIb3cDG8Wwbqopg+3KzDn31SxCMnZVTpz5TTlUQ3r/MhPtzq2s4IcfNit21VAXh48uTGdnNrCpYtqOW4x8rZ0x3N/668c8tRSEKq2yKf57Whv+KFnDcWXDO42CF/Vn9PXAzWsse8zQsHz92YdaRfgAcskF1ZqqfZ68ay/mPLuLb/W1UeETC+mJbEV9sK/r+635ZyZwxtDsn9M2gX3YKaf6EZg/jx43aGlMpbv9G+GYhfPEXs3FLnMhMsnj/soYTC/dVhHBbcOnQBP44w0/X+0qZO9LLL07y8eG3QZbkBxmTE6dvrf2mm13ewgf74yjY44Z67vEnFxPwveof2F5UyfmPLCK/sDLqjZIj43ZZjOyZzskDshiR25HenZNJT/KS4LbiJ/TtEFSXQtE22L0avv0Y1v3bbKsaR+r33L8blq9vwfIA1y6sYmyO6cV/tLWWHmkWvdJd7K+0Wb0nxBNn+Ll8eBMr68WKgbPgnCfA4wt39G/AbCC21nFKRHH68bJd24qZPf8h0OPgA93TE3l+7ljOe3gRO4pjZ7hTIqsN2SzdXMjSzYWHPJ7gthjeI53je3fiuG4d6JWRREaKj1S/B5/HjdsV5eAPhaC2Csr3Q/FW2PO1GV7f+ikUbomJOvTR1CXlQK8+5Z4SLhuWwO2T/PzfxiDTn6ng2Mw4u/wy5Hw48yFTha6hf2LKyirY44jCPT5t4UDAdzv4QE7HJJ6bO5bzHlnE7pLqtmibtICaWpulWwpZuqUw7PEUn4fu6X56dEqiW3oi2Wl+slJ9ZKT4SPK68Xtc+DxuvB4XbpeFZUFmqo8kb71f+YoCKN0J/nTT+64qMpPcCjbD5g/MfdFWCDl32+GQbR92C+CHlwV4b0uQZ89KJNymgLZtrsP/7G3zodofT0Vsjr8STou4Fe77wLmYlTsSRzQsH98GYH75utQ/sHlfOZc8sYRtBRqiF+OhOSOYmdf10AeXPAJv/rRtGhQjXlhdw0PLAjQljm8a6yUnzcWWotD3y9w63VvCbRN93DDWxzMrTQZeNCROhuTH3wRTb4909BNgBqYKncQZhXv8G4QJ+AYLjveWVnPFU5+xanv8TGKS1vOHC4ZxxrDuhz742ePwz5vbpkHStqbcBidF/L//N6bGhpbgxKk4uzAkYXwFTAH21z+QmerjhXljmTSgBQuNSNyqqQ3zQd4dx0VW5MhYFsz8n8aC/WXgDBTscU3h7gyrgKlAgwu0SV4PCy4ZxQXH92j4LGlXgrVhLha73A0fkyYrrLR5bW0N79arS//0igDbisN8v9uayw1n/glGXxXpjKcx9eI1YSfOKdyd40vgJKDBhu8et4vfnD2Em6c1qH8j7UhNuD3mw8+Oliaa90YlAzu7uH9xgLX7zGTydftr+d2iAJnJMTapLiEJznsahl4Y6Yz/BS4HtH+uAyjcnWUNcAKwMtzB66f0475zh5LgjrE3HYmK8D1354Z7MGRz67tV3PnBoZ3Q2pDN2AXlbClq+P048/kKrDtKsO4oYdJTB0altxaHOOHxhs/598YgPo9FR7/FvzYEsW2buf+o4sGZ/tiaMZ/aFS5/06xlD+/XwHWYnd7EAZz7m91+bcf04F/CDNUf4uyROWSm+pj/1+WUVesDensSaEfhvrU4xFNf1vD6uiD/MfDQf+NvPg6wZHv4JdsTe7q5cayZ6d45yYTza2trWLE7xOL8hs/5bizEZYHLsvjTshoGZ7kYnxtD39euw+DC5yCtW6Qzfg7cG70GSTSo5+5MJcBpmOtnDUzon8nf5o0lKzVsJSpxqGC4CXUOvebeNcXilxN9dKy35eqyHbXsKovcOe2V7mJSLw+TenkYnGW+NzP6ebhkaPiJh1P7eCgL2JQGbAZ0dvGnZQF+M9Xfcv+Qo3Xs6XDFm40F+49QsDuSwt25AsBlwN3hDg7q1oFXfjSOflmttOOXxJyadtRzD3fpqaLG5o11NY1uw7pwfZDke0ro+4dS/r7GFO7xNnIZ65FZfjYWhLh6pJcHlgT47TQ/Kd4YGY4ffzOc/4y51t5QFWbi3EPRbZREi8Ld2WzgVmAuYUpHdk9P5KVrTuSEPhlRb5hEX9ilcA4N93B+tyjADWMaH626aqSXL+Ylc+HgBC5+pZK95Y1fgu6c5OIHAxPYVWb2cq+osXlvcxtf7nJ7zYz4qRF3Zd0FTMTUixeHUri3D48BPwAabBmXlpjAM1eO4ZqJfYmXfUrkyARqw1xnbifhvrssxJNfBjj5z+Vc+bqp2jjzrxXsKD00vEd3d9M/w83dk/0kJcDmosMX+dpTHuLeTwJ08FmkeC3uXxxgc2EbzUtLyoBLXoNhsyOdsQIYDSyNXqOkLSjc249/Yj6t76l/wO2y+NmMgTx+6fGkJ6moiVOFv+bePsI9O8XFxutT+fLqFBackQjAwjlJdEt1cd+n1ewpD1FUZX+/Nr08YJOd4mJI9uHfIq97s4rbJ/n4fGctXjek+y3e3NAGvffswXDVu9DzxEhnvA6MJ8xyWXEehXv7sgyzVG5duIOTB2bxxnXjGdYjPaqNkuioDrfjiYPD/dHPA6zeE2Lh+iAffRs+bCtrbP6wNMDXe0Os2FXLrOcqeOizAAuWB3j5vET8HovtJSHu/dgsp7vv0+pDhupfW1tDMATnDEqgsm5vHZdlPhxE1cjL4ap3oGOvSGf8FlNOtixqbZI2pdry7VMGpsTkhHAHA8EQv37za578ZEtUGyWt67xROfz3OUMPfTB/GSyY0jYNinPFVTbjnijn7UuS6JLi4ry/VzB3pJcnvwxw8RAvpx4ThQ9OvlSY9XvIOyfSGUFgHvBE6zdGYol67u3Tfkw9+rBLYLweF7edfhx/umgEqT7n9uzam/bWc29t9y2q5pYTvXRJMW+jt07wsWxHLV2SXUzvG4Ulhl3yYO77jQV7ATANBXu7pN/s9iuIKV7xMWY9fMf6J8wY3JVBXdOY/9flrNlREu32SQsLvxTOmevco+E/x/tITDgwCzUv201edpS+n6OugFN/DZ6Ia+pXYYbhN0SnQRJr1HOXN4DhRJg92zMjmZevOZHZo3Oj2yppcQH13FvUwcEeNb5UOOcJmHV/Y8H+KDAGBXu7pnAXgG8xJWv/EO6gL8HNPWfl8fvzh5HkVU8vXtUo3ONblyEw9wMYfHakM8qAOZhr7JVRa5fEJIW7fCcA3ACcC5SGO+HM4d15/drxDMnpENWGScuobkcV6hzF5TbV5q58GzL6RjprJTAKeDZ6DZNYpnCX+l4ERmCKXTRwTFYKL19zIj85ZQBet3584kkgGGZljFvhHtOyjoUfvm2qzXkiVtd7BBgLfBO9hkms07uzhLMBsx7+sXAHPW4XPzr5GN64Xr34eBIItt8KdXHH5YGTboF5H0L3EZHOKgNmA1ejYXipR+EukVRiatJfQpiytQD9s1N5Zf44fqpefFyoVrjHh+zj4Mp3YMqtpk58eCuAkcBz0WuYxBO9I8vh/AU4Hvgi3EG3y2J+XS9+ZM8Gq+kkhmide4xzeWDCT8za9W7DIp0VAv6HRipNioDCXZrmK8zSml8CNeFO6J+dykvXnMjdZw4mza/AiEXhw12rH2JClzy46j2Y/F+N9dbXAuOAn6BheDkMhbs0VQ1wF2ZGbthePMBFY3vy9s0TmZnXJWoNk6bRsHwM8qXCtDtNsHcdEumsEKaa5HBgcdTaJnFN4S7NtRLTi7+VCL34rDQ/D80ZyYJLR9GtQ8RCGxJlKmITQywLhl4I130O424Ad8TdGL/CDMH/HKiKWvsk7inc5UjUAHdjJvR8Fumkqcdm8/aPJ3Lj1H4qfhMDqhTusaH7CLO87T8ehpTsSGfVAr/G/I5p73VpNoW7HI1VmF7FDUTYSjLJ6+HGqf354CeTmD06F7erDUp2CgChEDTYBdJymV6ktL6ULPjBg2YIPmdUY2euxqxb/wXqrcsRUrjL0arFlK0dBLwe6aTMVD/3nJXHv26cwLRBEXsr0hZcEYeEpSW4E+CEa80Q/PCLGzuzCrgdM69lWTSaJs6lcJeWsg04Ezgb2BHppGOyUnjsklG8MG8sw3qkR6lp0igNzbeeftPgmk/hlF+BL62xM18EBgJ3ANVRaZs4msJdWpINvIzpxf+eCBPuAMb0zuDVH43jwdnD6ZmRFKXmSVgK95aXewJcvhDmvAid+zd25mpgMmZPh2+j0jZpFxTu0hqKgZuAY4EXGjtx1pBuvH3zRG47fRCdkiOu75UWEqa6vNa6t6SuQ2HO3+GKt6DnuMbOLASuwyxvey8qbZN2ReEurWkjcAFm6dyHkU5KcLu4fFxv3v/JJOZP6os/QT+WrSZcuqvnfvSyBsF5T5ta8P2mN3amDTwM9AceBILRaJ60P1aD2bMircMCZmGKcRzb2In7yqr586db+MvibymqiDiyL0dg4z0zG65YuG8glO5smwbFu+zBMPFnMOiMppz9EXA98GWrtkkEhbtEnwe4AjNxqNEydpWBWv62bBsLPt7EtgJV22wJG341A0/9TX7uHwzF29qmQfGqyxBTB75pof4VpujTK0S4MiLS0hTu0lZSgJuBnwLJjZ1YG7J5a/UuHv1wIyvyi6PSOKda/6sZJNQP9weGQeHmNmlPXLFcMGAGjL0Gep3UlGdsBm4DnsUsGRWJGoW7tLVszBvgXOCwM7uWbNrPox9t4t21e9CPbvOtu3sGXk+9cP/jSNi/oW0aFA+8KTB8Doy5Gjr1acozdmD2YXgCCLRq20Qi0EwaaWu7gfmYQji3AufTSMiP6ZPBmD4ZbNhTxmMfbeLVL7aH3+1MwrLDjQpHrmvevqXnwui5MOIS8HdoyjO2Y0rGPo4qy0kbU89dYk1PTDnbqzBD943aW1rFU59+y1+XaPJdU6y961T8CfU+Oz08HnatapsGxaIeY2DsfDj29KYuE9wO3IPpqSvUJSYo3CVWpQPzMEHf9XAnVwdreefrPby8PJ/3v9lLMKSf63C+uvMUkrz1BuwenQQ7Iu7i2z4kdoS8c2DYHOg2vKnP+gpTrOlpVFVOYozCXWKdF5gN3AIc15Qn7C+r5vUVO3hpeT6rt5e0auPizZo7TiHZVy/cF0yB/HZYytzlgWOmwrDZZqKcu8lFlN4C7gf+D81+lxilcJd4YQGnYkJ+clOf9M2uUl5ens8rX2xnT6k6V6tun06qv9419idOga2L26ZBbSH7OBPoeeeZndqaphLTQ38A+LrV2ibSQhTuEo9GAj8GzqMJM+zBLKf7ZMM+Xlqez7/W7KKqpn1Owlt523TSEuuF+1OnwZaP26ZB0ZKUAXnnmlDvOrQ5z9yJqST3CLC/Vdom0go0W17i0eeYofpfANcCF2GW1EXkdllM6J/JhP6ZlFUHWbhqJ68s387SLQXUtqPr86FwH+adWn62Qw4MmAkDTzN13pu3KuAzTC/972g5m8Qh9dzFCTzAdOASzLazvqY+saA8wHvf7OGdr3fz4bp9lFU7u9T38lun0im53rfnmbNgwztt06CWlj0YBs6EgbOa20MHsyzzL8CfMbu1icQth35kl3YmCCysu6Vjts+8FGh0Wy6ATslezh6Rw9kjcggEQyzZvJ93vt7DO2t3O7LkbSjc1QhXHK9zd7nN9qoDT4MBp0HHns19hQDwGvAU8G+0kYs4hHru4mR9gYsxPfrezX3ypr1lfLR+Hx+t38viTQWO6NUv/cUUstL8hz74/BxY+0bbNOhIZBwDvcabW98pkNTpSF5lKaaH/jxQ0KLtE4kBCndpD1yYXvylmEl4qc19gZraEMu3FvLR+n18umEfa3aUxGVlvEX/OZmuHRIPffBvl8JXr7ZJe5qkcz9Ty73nOBPoqY3uN9SYbcBzmFD/qsXa1wosy+oAPARcbdt2ad1jYwG3bdufWJa1C3gDM9lvKvBH27a1HES+p2F5aQ9CmO02v9ty8wzgQmAakNjI876X4HYxpncGY3pnwPQB1NSGWLuzlJX5RazIL2bFtiLW7ykl1ufmhcI1sGlV2KLDsqBzf+hZ1zPvNQ5SGp0reTgrMMPur2K2Wo2Z/yHLsm4FpkQ43BlT18EDnG9ZVmdgD7DWsqyb6s4pAmYA1wErMZcVRACFu7Q/FZih2OcxwX4ycHrdrXtTXyTB7SIvpwN5OR2Y890LB4Ks2l7MyvxiVm4r4sv8opi7bh92ZUBbzZZ3eyHrWOiSZ7ZQ7ZIHXQaDL+1oXrUW+BAT6K8BW1qgpa3lv23bvuu7LyzLegqYCXSzbbv+NaD5wCpgGdARU9ypBzACU/vhXMuyfgjMs227qPWbLrFO4S7tWSUHJuLNB4ZhQv40YBRmOL/JkryeA737OgXlAVbV9e7X7Chmy74KthVWUBFomx1Aa8P1W6MR7r60uvDOg65DTJhnDmypTWvKgX9heuf/JE6uoUcYRg/UD3bLsgYDN2E2V/olkA+8WHd4BFAG9Mf05KcAL7VSkyWOKNxFDBv4ou52J9AJUwnvFMwyu9wjedFOyV4mDshi4oBDK6HtLa1mW4EJ+q0F5ratoIKt+yvYVVLVasP7rdZzd3nMuvL0ntCxl5m13rHXga+TOx/933FAAFgMvF93W0ScbthiWdbrQIJt2zPqPX4+UGrb9kKgBhPs72L+vT/EDNGDucR0OjDAtu38aLVbYp/CXSS8Akzv6EVM6dv+mJCfDBxPM4bww8lM9ZGZ6mNEz44NjgWCIfILK+rCv5L8wgqKK2sorQrW3WooqbsvrQo2axSgWUVsXB6zoUpSJ0jsdOD+u8eSOpttUTv2gg7dW3MEoBoT4B9gwm0JZtTFCbzAwcsXMi3Leh8YCvgtyxpv2/bnwG2WZY2qO2cuBz7M9AKCCnapT7PlRY5MN0zIHw+MrrtPb4uG1IZsyqoPhH1J1YEPAqGQDZb5dGJZFpMHZtIhsd4GKXu/gbLd5hq4x18X3h2P9tr30SjFXFt+HxPoS4jTnvnhWJb1FuC3bXtS3TX3qbZt54Q5rzPmGvsNmAl0O4FHMZvYTAD+Ydv2kqg1XGKewl2kZVjAMRwa+MNp4mz8dmwHZhb7Fwfdb8ascHC8ZoT7lZhlb9/t8HMSZmnfFiADGAxcYdv2k9Fot8Q+DcuLtAwbWF93e7buMQ9mOdNozAS9YzDFdHJp4oY3DlILbOTAvIYv6267265JcWeXbduTACzLKgOesm37dsuypmGWwWm3Ovmewl2k9QQx66xXAI8d9HgCZoi1T71b77r7Iyq5FgP2ApswPe+D7zdhZnjHf4m/FmJZlsu27UZHJyzLuhqzVHM24d+rrbrr8PfWfe3ISxdyZDQsLxJ70jkQ9H0w1/fTgA4Rbv6wr3L0bMzEwgLMdqff3QoOus/HhPhmzJIsaYK62fDzaVpRnfsx3+detm2/VPf8AuAO27YfsCzrIgDbtp9prfZK/FG4i8Q/L+HDPw2zVt8+6NYLM2oQxCyxCmCGy9fV/bkas156f919u7j2LeI0CncRERGHaVYFLhEREYl9CncRERGHUbiLiIg4jMJdRETEYRTuIiIiDqNwFxERcRiFu4iIiMMo3EVERBxG4S4iIuIwCncRERGHUbiLiIg4jMJdRETEYRTuIiIiDqNwFxERcRiFu4iIiMMo3EVERBxG4S4iIuIwCncRERGHUbiLiIg4jMJdRETEYRTuIiIiDqNwFxERcRiFu4iIiMMo3EVERBxG4S4iIuIwCncRERGHUbiLiIg4jMJdRETEYRTuIiIiDqNwFxERcRiFu4iIiMMo3EVERBxG4S4iIuIwCncRERGHUbiLiIg4jMJdRETEYRTuIiIiDqNwFxERcRiFu4iIiMMo3EVERBxG4S4iIuIwCncRERGHUbiLiIg4jMJdRETEYRTuIiIiDqNwFxERcRiFu4iIiMMo3EVERBxG4S4iIuIwCncRERGHUbiLiIg4jMJdRETEYf4f91SzXBRXTIkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## 女生。先查看数据最大最小值，确定切割范围\n",
    "data_women['BMI'].max()   ## 36.09000015258789\n",
    "data_women['BMI'].min()  #0.0\n",
    "data_women_bmi = pd.cut(data_women['BMI'],bins=[0,16.4,22.7,25.2,37]).value_counts()\n",
    "p1 = data_women_bmi/data_women_bmi.sum() \n",
    "plt.figure(figsize=(9,9))  ## 设置图片大小\n",
    "# 绘制嵌套饼图\n",
    "plt.pie(p1,\n",
    "        radius=1,autopct='%0.2f%%',\n",
    "        pctdistance=0.85,\n",
    "        labels=['低体重','正常','超重','肥胖'],\n",
    "        textprops={'family':'Songti SC','fontsize':'12'},       \n",
    "        wedgeprops={'linewidth':5,'width':0.3,'edgecolor':'white'})\n",
    "plt.pie(p2,radius=0.7,\n",
    "       autopct='%0.2f%%',\n",
    "       pctdistance=0.55,\n",
    "       labels=['低体重','正常','超重','肥胖'],\n",
    "       textprops={'family':'Songti SC','fontsize':'12'},       \n",
    "       wedgeprops={'linewidth':5,'width':0.7,'edgecolor':'white'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "636e7775",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "python3.9",
   "language": "python",
   "name": "python3.9"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
